import org.opencv.core.CvType;
import org.opencv.core.Mat;
+import org.opencv.core.Point;
+import org.opencv.core.Rect;
+import org.opencv.core.RotatedRect;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.core.Core;
import org.opencv.imgproc.Imgproc;
import org.opencv.test.OpenCVTestCase;
-
+import org.opencv.test.OpenCVTestRunner;
public class imgprocTest extends OpenCVTestCase {
-
+
+ private Mat src;
+ private Mat dstImage;
+ private Mat out;
+
+ @Override
+ protected void setUp() throws Exception {
+ super.setUp();
+
+ src = new Mat(2, 2, CvType.CV_64F);
+ src.put(0, 0, 2, 2);
+ src.put(1, 0, 2, 2);
+
+ dstImage = new Mat(2, 2, CvType.CV_64F);
+ out = new Mat(2, 2, CvType.CV_64F);
+ }
+
public void test_1() {
super.test_1("imgproc");
}
-
- //FIXME: this test crashes
- //public void test_Can_Call_accumulate() {
- // dst = new Mat(gray1.rows(), gray1.cols(), Mat.CvType.CV_32FC1);
- // Imgproc.accumulate(gray1, dst);
- // assertMatEqual(gray1, dst);
- //}
public void testAccumulateMatMat() {
- fail("Not yet implemented");
+ out.put(0, 0, 2, 2);
+ out.put(1, 0, 2, 2);
+
+ Imgproc.accumulate(src, dstImage);
+ assertMatEqual(out, dstImage);
+
+ dst = new Mat(matSize, matSize, CvType.CV_32FC1, new Scalar(0));
+ Imgproc.accumulate(gray1_32f, dst);
+ assertMatEqual(gray1_32f, dst);
}
public void testAccumulateMatMatMat() {
- fail("Not yet implemented");
+ Mat mask = new Mat(2, 2, CvType.CV_8U);
+
+ out.put(0, 0, 2, 2);
+ out.put(1, 0, 2, 2);
+
+ mask.put(0, 0, 2, 2);
+ mask.put(1, 0, 2, 2);
+
+ Imgproc.accumulate(src, dstImage, mask); // TODO: use mask
+ assertMatEqual(out, dstImage);
}
public void testAccumulateProductMatMatMat() {
- fail("Not yet implemented");
+ Mat src1 = new Mat(2, 2, CvType.CV_64F);
+ Mat src2 = new Mat(2, 2, CvType.CV_64F);
+
+ src1.put(0, 0, 1, 1);
+ src1.put(1, 0, 1, 1);
+
+ src2.put(0, 0, 2, 1);
+ src2.put(1, 0, 1, 2);
+
+ Mat dstImage = new Mat(2, 2, CvType.CV_64F, new Scalar(0));
+ Imgproc.accumulateProduct(src1, src2, dstImage);
+ out.put(0, 0, 2, 1);
+ out.put(1, 0, 1, 2);
+ assertMatEqual(out, dstImage);
}
public void testAccumulateProductMatMatMatMat() {
- fail("Not yet implemented");
+ Mat src1 = new Mat(2, 2, CvType.CV_64F);
+ Mat src2 = new Mat(2, 2, CvType.CV_64F);
+ Mat mask = new Mat(2, 2, CvType.CV_8U);
+
+ src1.put(0, 0, 1, 1);
+ src1.put(1, 0, 0, 1);
+
+ src2.put(0, 0, 2, 1);
+ src2.put(1, 0, 1, 2);
+
+ out.put(0, 0, 2, 1);
+ out.put(1, 0, 0, 2);
+
+ mask.put(0, 0, 1, 1);
+ mask.put(1, 0, 1, 1);
+
+ Imgproc.accumulateProduct(src1, src2, dstImage, mask);
+ OpenCVTestRunner.Log(dstImage.dump());
+ assertMatEqual(out, dstImage);
}
public void testAccumulateSquareMatMat() {
- fail("Not yet implemented");
+
+ out.put(0, 0, 4, 4);
+ out.put(1, 0, 4, 4);
+
+ Imgproc.accumulateSquare(src, dstImage);
+ assertMatEqual(out, dstImage);
}
public void testAccumulateSquareMatMatMat() {
- fail("Not yet implemented");
+ Mat mask = new Mat(2, 2, CvType.CV_8U);
+ out.put(0, 0, 4, 4);
+ out.put(1, 0, 4, 4);
+
+ mask.put(0, 0, 1, 1);
+ mask.put(1, 0, 1, 1);
+
+ Imgproc.accumulateSquare(src, dstImage, mask);
+ assertMatEqual(out, dstImage);
}
public void testAccumulateWeightedMatMatDouble() {
- fail("Not yet implemented");
+ out.put(0, 0, 4, 4);
+ out.put(1, 0, 4, 4);
+
+ Imgproc.accumulateWeighted(src, dstImage, 2.0);
+ OpenCVTestRunner.Log(dstImage.dump());
+ assertMatEqual(out, dstImage);
}
public void testAccumulateWeightedMatMatDoubleMat() {
- fail("Not yet implemented");
+ Mat mask = new Mat(2, 2, CvType.CV_8U);
+ out.put(0, 0, 8, 8);
+ out.put(1, 0, 8, 8);
+
+ mask.put(0, 0, 1, 1);
+ mask.put(1, 0, 1, 1);
+
+ Imgproc.accumulateWeighted(src, dstImage, 4.0, mask);
+ assertMatEqual(out, dstImage);
}
public void testAdaptiveThreshold() {
- fail("Not yet implemented");
+ Imgproc.adaptiveThreshold(gray0, dst, 2.0,
+ Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C, Imgproc.THRESH_BINARY, 3, 0);
+ assertMatEqual(gray0, dst);
}
public void testApproxPolyDP() {
- fail("Not yet implemented");
+ Mat curve = new Mat(1, 5, CvType.CV_32FC2);
+ Mat approxCurve = new Mat(3, 1, CvType.CV_32FC2);
+ double epsilon = 0.001;
+ curve.put(0, 0, 1.0, 3.0, 2.0, 4.0, 3.0, 5.0, 4.0, 4.0, 5.0, 3.0);
+ approxCurve.put(0, 0, 1.0, 3.0, 3.0, 5.0, 5.0, 3.0);
+
+ Imgproc.approxPolyDP(curve, dst, epsilon, true);
+ assertMatEqual(approxCurve, dst);
}
public void testArcLength() {
- fail("Not yet implemented");
+ Mat curve = new Mat(1, 5, CvType.CV_32FC2);
+ curve.put(0, 0, 1.0, 3.0, 2.0, 4.0, 3.0, 5.0, 4.0, 4.0, 5.0, 3.0);
+
+ double arcLength = Imgproc.arcLength(curve, false);
+ double expectedLength = 5.656854152679443;
+ assertEquals(expectedLength, arcLength);
}
public void testBilateralFilterMatMatIntDoubleDouble() {
- fail("Not yet implemented");
+ Imgproc.bilateralFilter(gray255, dst, 5, 10.0, 5.0);
+ assertMatEqual(gray255, dst);
}
public void testBilateralFilterMatMatIntDoubleDoubleInt() {
- fail("Not yet implemented");
+ Imgproc.bilateralFilter(gray255, dst, 5, 10.0, 5.0,
+ Imgproc.BORDER_REFLECT);
+ assertMatEqual(gray255, dst);
}
public void testBlurMatMatSize() {
}
public void testBlurMatMatSizePoint() {
- fail("Not yet implemented");
+ Size sz = new Size(3, 3);
+ Point anchor = new Point(2, 2);
+
+ Imgproc.blur(gray0, dst, sz, anchor);
+ assertMatEqual(gray0, dst);
}
public void testBlurMatMatSizePointInt() {
- fail("Not yet implemented");
+ Size sz = new Size(3, 3);
+ Point anchor = new Point(2, 2);
+
+ Imgproc.blur(gray0, dst, sz, anchor, Imgproc.BORDER_REFLECT);
+ assertMatEqual(gray0, dst);
}
public void testBorderInterpolate() {
- fail("Not yet implemented");
+ float val1 = Imgproc.borderInterpolate(100, 150,
+ Imgproc.BORDER_REFLECT_101);
+ Imgproc.borderInterpolate(-5, 10, Imgproc.BORDER_WRAP);
+ assertEquals(100.0f, val1);
+
+ float val2 = Imgproc.borderInterpolate(-5, 10, Imgproc.BORDER_WRAP);
+ assertEquals(5.0f, val2);
}
public void testBoundingRect() {
- fail("Not yet implemented");
+ Rect dstRect = new Rect();
+ Mat points = new Mat(1, 4, CvType.CV_32FC2);
+ Point p1 = new Point(1, 1);
+ Point p2 = new Point(-5, -2);
+ points.put(0, 0, 0.0, 0.0, 0.0, 4.0, 4.0, 0.0, 4.0, 4.0);
+
+ // TODO : are this a good tests?
+ dstRect = Imgproc.boundingRect(points);
+ assertTrue(dstRect.contains(p1));
+ assertFalse(dstRect.contains(p2));
+
}
public void testBoxFilterMatMatIntSize() {
}
public void testBoxFilterMatMatIntSizePoint() {
- fail("Not yet implemented");
+ Size sz = new Size(3, 3);
+ Point anchor = new Point(2, 2);
+
+ Imgproc.boxFilter(gray0, dst, 8, sz, anchor);
+ assertMatEqual(gray0, dst);
}
public void testBoxFilterMatMatIntSizePointBoolean() {
- fail("Not yet implemented");
+ Size sz = new Size(3, 3);
+ Point anchor = new Point(2, 2);
+
+ Imgproc.boxFilter(gray255, dst, 8, sz, anchor, false);
+ OpenCVTestRunner.Log(dst.dump());
+ assertMatEqual(gray255, dst);
}
public void testBoxFilterMatMatIntSizePointBooleanInt() {
- fail("Not yet implemented");
+ Size sz = new Size(3, 3);
+ Point anchor = new Point(2, 2);
+
+ Imgproc.boxFilter(gray255, dst, 8, sz, anchor, false,
+ Imgproc.BORDER_REFLECT);
+ assertMatEqual(gray255, dst);
}
public void testCalcBackProject() {
ArrayList<Mat> images = new ArrayList<Mat>();
List<Integer> channels = new ArrayList<Integer>();
List<Integer> histSize = new ArrayList<Integer>();
- List<Float> ranges = new ArrayList<Float>();
-
+ List<Float> ranges = new ArrayList<Float>();
+
images.add(grayChess);
channels.add(0);
histSize.add(10);
- ranges.add(0.0f); ranges.add(256.0f);
+ ranges.add(0.0f);
+ ranges.add(256.0f);
Mat hist = new Mat();
Imgproc.calcHist(images, channels, new Mat(), hist, histSize, ranges);
Core.normalize(hist, hist);
-
+
Imgproc.calcBackProject(images, channels, hist, dst, ranges, 255);
assertTrue(grayChess.size().equals(dst.size()));
assertEquals(grayChess.depth(), dst.depth());
ArrayList<Mat> images = new ArrayList<Mat>();
List<Integer> channels = new ArrayList<Integer>();
List<Integer> histSize = new ArrayList<Integer>();
- List<Float> ranges = new ArrayList<Float>();
-
+ List<Float> ranges = new ArrayList<Float>();
+
images.add(gray128);
channels.add(0);
histSize.add(10);
- ranges.add(0.0f); ranges.add(256.0f);
+ ranges.add(0.0f);
+ ranges.add(256.0f);
truth = new Mat(10, 1, CvType.CV_32F, Scalar.all(0.0));
truth.put(5, 0, 100.0);
-
+
Mat hist = new Mat();
Imgproc.calcHist(images, channels, new Mat(), hist, histSize, ranges);
assertMatEqual(truth, hist);
}
-
+
public void testCalcHistListOfMatListOfIntegerMatMatListOfIntegerListOfFloat2d() {
ArrayList<Mat> images = new ArrayList<Mat>();
List<Integer> channels = new ArrayList<Integer>();
List<Integer> histSize = new ArrayList<Integer>();
- List<Float> ranges = new ArrayList<Float>();
-
+ List<Float> ranges = new ArrayList<Float>();
+
images.add(gray255);
- images.add(gray128);
-
+ images.add(gray128);
+
channels.add(0);
channels.add(1);
-
+
histSize.add(10);
histSize.add(10);
-
- ranges.add(0.0f); ranges.add(256.0f);
- ranges.add(0.0f); ranges.add(256.0f);
-
+
+ ranges.add(0.0f);
+ ranges.add(256.0f);
+ ranges.add(0.0f);
+ ranges.add(256.0f);
+
truth = new Mat(10, 10, CvType.CV_32F, Scalar.all(0.0));
truth.put(9, 5, 100.0);
-
+
Mat hist = new Mat();
Imgproc.calcHist(images, channels, new Mat(), hist, histSize, ranges);
assertMatEqual(truth, hist);
}
public void testCalcHistListOfMatListOfIntegerMatMatListOfIntegerListOfFloatBoolean() {
- fail("Not yet implemented");
+ ArrayList<Mat> images = new ArrayList<Mat>();
+ List<Integer> channels = new ArrayList<Integer>();
+ List<Integer> histSize = new ArrayList<Integer>();
+ List<Float> ranges = new ArrayList<Float>();
+ Mat hist = new Mat();
+
+ images.add(gray255);
+ images.add(gray128);
+
+ channels.add(0);
+ channels.add(1);
+
+ histSize.add(10);
+ histSize.add(10);
+
+ ranges.add(0.0f);
+ ranges.add(256.0f);
+ ranges.add(0.0f);
+ ranges.add(256.0f);
+
+ truth = new Mat(10, 10, CvType.CV_32F, Scalar.all(0.0));
+ truth.put(9, 5, 100.0);
+ Imgproc.calcHist(images, channels, new Mat(), hist, histSize, ranges,
+ true);
+ assertMatEqual(truth, hist);
}
public void testCannyMatMatDoubleDouble() {
- fail("Not yet implemented");
+ Imgproc.Canny(gray255, dst, 5.0, 10.0);
+ assertMatEqual(gray0, dst);
+ ;
}
public void testCannyMatMatDoubleDoubleInt() {
- fail("Not yet implemented");
+ Imgproc.Canny(gray255, dst, 5.0, 10.0, 5);
+ assertMatEqual(gray0, dst);
}
public void testCannyMatMatDoubleDoubleIntBoolean() {
- fail("Not yet implemented");
+ Imgproc.Canny(gray0, dst, 5.0, 10.0, 5, true);
+ assertMatEqual(gray0, dst);
}
public void testCompareHist() {
- fail("Not yet implemented");
+ Mat H1 = new Mat(3, 1, CvType.CV_32F);
+ Mat H2 = new Mat(3, 1, CvType.CV_32F);
+
+ H1.put(0, 0, 1, 2, 3);
+ H2.put(0, 0, 4, 5, 6);
+
+ double comparator = Imgproc.compareHist(H1, H2, Imgproc.CV_COMP_CORREL);
+ assertEquals(1.0, comparator);
}
public void testContourAreaMat() {
- fail("Not yet implemented");
+ Mat contour = new Mat(1, 4, CvType.CV_32FC2);
+ contour.put(0, 0, 0.0, 0.0, 10.0, 0.0, 10.0, 10.0, 5.0, 4.0);
+
+ double area = Imgproc.contourArea(contour);
+ assertEquals(45.0, area);
}
public void testContourAreaMatBoolean() {
- fail("Not yet implemented");
+ Mat contour = new Mat(1, 4, CvType.CV_32FC2);
+ contour.put(0, 0, 0.0, 0.0, 10.0, 0.0, 10.0, 10.0, 5.0, 4.0);
+
+ double area = Imgproc.contourArea(contour, true);
+ assertEquals(45.0, area);
}
public void testConvertMapsMatMatMatMatInt() {
+ Mat map1 = new Mat(1, 4, CvType.CV_32FC1, new Scalar(1));
+ Mat map2 = new Mat(1, 4, CvType.CV_32FC1, new Scalar(1));
+ Mat dstmap1 = new Mat(1, 4, CvType.CV_16SC2);
+ Mat dstmap2 = new Mat(1, 4, CvType.CV_16UC1);
+
+ //FIXME: dstmap1 - Documentation says Cvtype but requires integer
+ Imgproc.convertMaps(map1, map2, dstmap1, dstmap2, CvType.CV_32F);
fail("Not yet implemented");
}
public void testConvertMapsMatMatMatMatIntBoolean() {
fail("Not yet implemented");
}
-
+
public void testConvexHullMatMat() {
- fail("Not yet implemented");
+ Mat points = new Mat(1, 6, CvType.CV_32FC2);
+ Mat expHull = new Mat(4, 1, CvType.CV_32FC2);
+
+ points.put(0, 0, 2.0, 0.0, 4.0, 0.0, 3.0, 2.0, 0.0, 2.0, 2.0, 1.0, 3.0, 1.0);
+ expHull.put(0, 0, 4, 0, 3, 2, 0, 2, 2, 0);
+
+ Imgproc.convexHull(points, dst);
+ assertMatEqual(expHull, dst);
}
public void testConvexHullMatMatBoolean() {
- fail("Not yet implemented");
+ Mat points = new Mat(1, 6, CvType.CV_32FC2);
+ Mat expHull = new Mat(4, 1, CvType.CV_32FC2);
+
+ points.put(0, 0, 2.0, 0.0, 4.0, 0.0, 3.0, 2.0, 0.0, 2.0, 2.0, 1.0, 3.0,
+ 1.0);
+ expHull.put(0, 0, 0, 2, 3, 2, 4, 0, 2, 0);
+
+ Imgproc.convexHull(points, dst, true);
+ assertMatEqual(expHull, dst);
}
public void testConvexHullMatMatBooleanBoolean() {
- fail("Not yet implemented");
+ Mat points = new Mat(1, 6, CvType.CV_32FC2);
+ Mat expHull = new Mat(4, 1, CvType.CV_32FC2);
+
+ points.put(0, 0, 2.0, 0.0, 4.0, 0.0, 3.0, 2.0, 0.0, 2.0, 2.0, 1.0, 3.0,
+ 1.0);
+ expHull.put(0, 0, 0, 2, 3, 2, 4, 0, 2, 0);
+
+ Imgproc.convexHull(points, dst, true, true);
+ assertMatEqual(expHull, dst);
}
public void testCopyMakeBorderMatMatIntIntIntIntInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_32F);
+ Mat out = new Mat(6, 6, CvType.CV_32F, new Scalar(1));
+ int border = 2;
+
+ src.put(0, 0, 1, 1);
+ src.put(1, 0, 1, 1);
+
+ Imgproc.copyMakeBorder(src, dst, border, border, border, border,
+ Imgproc.BORDER_REPLICATE);
+ assertMatEqual(out, dst);
}
public void testCopyMakeBorderMatMatIntIntIntIntIntScalar() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_32F);
+ Mat out = new Mat(6, 6, CvType.CV_32F, new Scalar(1));
+ Scalar value = new Scalar(0);
+ int border = 2;
+
+ src.put(0, 0, 1, 1);
+ src.put(1, 0, 1, 1);
+
+ Imgproc.copyMakeBorder(src, dst, border, border, border, border,
+ Imgproc.BORDER_REPLICATE, value);
+ assertMatEqual(out, dst);
}
public void testCornerEigenValsAndVecsMatMatIntInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_32FC1);
+ int blockSize = 3;
+ int ksize = 5;
+
+ src.put(0, 0, 1, 2);
+ src.put(1, 0, 4, 2);
+
+ // TODO : eigen vals and vectors returned = 0 for most src matrices
+ Mat out = new Mat(2, 2, CvType.CV_32FC(6), new Scalar(0));
+
+ Imgproc.cornerEigenValsAndVecs(src, dst, blockSize, ksize);
+ OpenCVTestRunner.Log(dst.dump());
+ assertMatEqual(out, dst);
}
public void testCornerEigenValsAndVecsMatMatIntIntInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(4, 4, CvType.CV_32FC1, new Scalar(128));
+ int blockSize = 3;
+ int ksize = 5;
+
+ Mat out = new Mat(4, 4, CvType.CV_32FC(6), new Scalar(0));
+
+ Imgproc.cornerEigenValsAndVecs(src, dst, blockSize, ksize,
+ Imgproc.BORDER_REFLECT);
+ OpenCVTestRunner.Log(dst.dump());
+ assertMatEqual(out, dst);
}
public void testCornerHarrisMatMatIntIntDouble() {
- fail("Not yet implemented");
+ Mat out = new Mat(matSize, matSize, CvType.CV_32FC1, new Scalar(0));
+ int blockSize = 5;
+ int ksize = 7;
+ double k = 0.1;
+ Imgproc.cornerHarris(gray128, dst, blockSize, ksize, k);
+ assertMatEqual(out, dst);
}
public void testCornerHarrisMatMatIntIntDoubleInt() {
- fail("Not yet implemented");
+ Mat out = new Mat(matSize, matSize, CvType.CV_32FC1, new Scalar(0));
+ int blockSize = 5;
+ int ksize = 7;
+ double k = 0.1;
+ Imgproc.cornerHarris(gray255, dst, blockSize, ksize, k,
+ Imgproc.BORDER_REFLECT);
+ assertMatEqual(out, dst);
}
public void testCornerMinEigenValMatMatInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_32FC1);
+ src.put(0, 0, 1, 2);
+ src.put(1, 0, 2, 1);
+
+ Mat out = new Mat(2, 2, CvType.CV_32FC1, new Scalar(0));
+ int blockSize = 5;
+
+ Imgproc.cornerMinEigenVal(src, dst, blockSize);
+ assertMatEqual(out, dst);
+
+ Mat out1 = new Mat(matSize, matSize, CvType.CV_32FC1, new Scalar(0));
+
+ Imgproc.cornerMinEigenVal(gray255, dst, blockSize);
+ assertMatEqual(out1, dst);
}
public void testCornerMinEigenValMatMatIntInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_32FC1);
+ src.put(0, 0, 1, 0, 0);
+ src.put(1, 0, 0, 1, 0);
+ src.put(2, 0, 0, 0, 1);
+
+ Mat out = new Mat(3, 3, CvType.CV_32FC1, new Scalar(0));
+ int blockSize = 3;
+ int ksize = 5;
+
+ out.put(0, 0, 0.055555549, 0.027777772, 0.055555549);
+ out.put(1, 0, 0.027777772, 0.055555549, 0.027777772);
+ out.put(2, 0, 0.055555549, 0.027777772, 0.055555549);
+
+ Imgproc.cornerMinEigenVal(src, dst, blockSize, ksize);
+ assertMatEqual(out, dst);
}
public void testCornerMinEigenValMatMatIntIntInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_32FC1);
+ src.put(0, 0, 1, 0, 0);
+ src.put(1, 0, 0, 1, 0);
+ src.put(2, 0, 0, 0, 1);
+
+ Mat out = new Mat(3, 3, CvType.CV_32FC1, new Scalar(0));
+ int blockSize = 3;
+ int ksize = 5;
+
+ out.put(0, 0, 0.68055558, 0.92708349, 0.5868057);
+ out.put(1, 0, 0.92708343, 0.92708343, 0.92708343);
+ out.put(2, 0, 0.58680564, 0.92708343, 0.68055564);
+
+ Imgproc.cornerMinEigenVal(src, dst, blockSize, ksize, Imgproc.BORDER_REFLECT);
+ assertMatEqual(out, dst);
}
public void testCornerSubPix() {
}
public void testCvtColorMatMatInt() {
- fail("Not yet implemented");
+ Imgproc.cvtColor(rgba0, dst, 2);
+ assertMatEqual(rgba0, dst);
}
public void testCvtColorMatMatIntInt() {
- fail("Not yet implemented");
+ Imgproc.cvtColor(rgba128, dst, 2, 1);
+ assertMatEqual(rgba128, dst);
}
public void testDilateMatMatMat() {
- fail("Not yet implemented");
+ Mat kernel = new Mat();
+ Imgproc.dilate(gray255, dst, kernel);
+ assertMatEqual(gray255, dst);
+
+ Imgproc.dilate(gray1, dst, kernel);
+ assertMatEqual(gray1, dst);
}
public void testDilateMatMatMatPoint() {
- fail("Not yet implemented");
+ Mat kernel = new Mat();
+ Point anchor = new Point(2, 2);
+
+ Imgproc.dilate(gray255, dst, kernel, anchor);
+ assertMatEqual(gray255, dst);
}
public void testDilateMatMatMatPointInt() {
- fail("Not yet implemented");
+ Mat kernel = new Mat();
+ Point anchor = new Point(2, 2);
+
+ Imgproc.dilate(gray255, dst, kernel, anchor, 10);
+ assertMatEqual(gray255, dst);
}
public void testDilateMatMatMatPointIntInt() {
- fail("Not yet implemented");
+ Mat kernel = new Mat();
+ Point anchor = new Point(2, 2);
+
+ Imgproc.dilate(gray255, dst, kernel, anchor, 10, Imgproc.BORDER_REFLECT);
+ assertMatEqual(gray255, dst);
}
public void testDilateMatMatMatPointIntIntScalar() {
- fail("Not yet implemented");
+ Mat kernel = new Mat();
+ Point anchor = new Point(2, 2);
+ Scalar value = new Scalar(0);
+
+ Imgproc.dilate(gray255, dst, kernel, anchor, 10,
+ Imgproc.BORDER_REFLECT, value);
+ assertMatEqual(gray255, dst);
}
public void testDistanceTransform() {
- fail("Not yet implemented");
+ Mat out = new Mat(matSize, matSize, CvType.CV_32FC1, new Scalar(8192));
+ Mat dstLables = new Mat(matSize, matSize, CvType.CV_32SC1,
+ new Scalar(0));
+
+ Mat lables = new Mat();
+ Imgproc.distanceTransform(gray128, dst, lables, Imgproc.CV_DIST_L2, 3);
+
+ assertMatEqual(out, dst);
+ assertMatEqual(dstLables, lables);
}
public void testDrawContoursMatListOfMatIntScalar() {
}
public void testEqualizeHist() {
- fail("Not yet implemented");
+ Imgproc.equalizeHist(gray0, dst);
+ assertMatEqual(gray0, dst);
+
+ Imgproc.equalizeHist(gray255, dst);
+ assertMatEqual(gray255, dst);
}
public void testErodeMatMatMat() {
- fail("Not yet implemented");
+ Mat kernel = new Mat();
+ Imgproc.erode(gray128, dst, kernel);
+ assertMatEqual(gray128, dst);
}
public void testErodeMatMatMatPoint() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_8U);
+ Mat out = new Mat(3, 3, CvType.CV_8U, new Scalar(0.0));
+ Point point = new Point(2, 2);
+ Mat kernel = new Mat();
+
+ src.put(0, 0, 1, 4, 8);
+ src.put(1, 0, 2, 0, 1);
+ src.put(2, 0, 3, 4, 6);
+
+ Imgproc.erode(src, dst, kernel, point);
+ assertMatEqual(out, dst);
}
public void testErodeMatMatMatPointInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_8U);
+ Mat out = new Mat(3, 3, CvType.CV_8U, new Scalar(8.0));
+ Mat kernel = new Mat();
+ Point point = new Point(2, 2);
+
+ src.put(0, 0, 15, 9, 10);
+ src.put(1, 0, 10, 8, 12);
+ src.put(2, 0, 12, 20, 25);
+
+ Imgproc.erode(src, dst, kernel, point, 10);
+ assertMatEqual(out, dst);
}
public void testErodeMatMatMatPointIntInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_8U);
+ Mat out = new Mat(3, 3, CvType.CV_8U, new Scalar(8.0));
+ Mat kernel = new Mat();
+ Point point = new Point(2, 2);
+
+ src.put(0, 0, 15, 9, 10);
+ src.put(1, 0, 10, 8, 12);
+ src.put(2, 0, 12, 20, 25);
+
+ Imgproc.erode(src, dst, kernel, point, 10, Imgproc.BORDER_REFLECT);
+ assertMatEqual(out, dst);
}
public void testErodeMatMatMatPointIntIntScalar() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_8U);
+ Mat out = new Mat(3, 3, CvType.CV_8U, new Scalar(8.0));
+ Mat kernel = new Mat();
+ Point point = new Point(2, 2);
+ Scalar sc = new Scalar(3, 3);
+
+ src.put(0, 0, 15, 9, 10);
+ src.put(1, 0, 10, 8, 12);
+ src.put(2, 0, 12, 20, 25);
+
+ Imgproc.erode(src, dst, kernel, point, 10, Imgproc.BORDER_REFLECT, sc);
+ assertMatEqual(out, dst);
}
public void testFilter2DMatMatIntMat() {
- fail("Not yet implemented");
+ Mat kernel = new Mat(2, 2, CvType.CV_32F);
+
+ Imgproc.filter2D(gray128, dst, -1, kernel);
+ assertMatEqual(gray0, dst);
}
public void testFilter2DMatMatIntMatPoint() {
- fail("Not yet implemented");
+ Mat kernel = new Mat(2, 2, CvType.CV_32F);
+ Point anchor = new Point(0, 0);
+
+ Imgproc.filter2D(gray128, dst, -1, kernel, anchor);
+ assertMatEqual(gray0, dst);
}
public void testFilter2DMatMatIntMatPointDouble() {
- fail("Not yet implemented");
+ Mat kernel = new Mat(2, 2, CvType.CV_32F);
+ Point anchor = new Point(0, 0);
+
+ Imgproc.filter2D(gray0, dst, -1, kernel, anchor, 2.0);
+ assertMatEqual(gray2, dst);
}
public void testFilter2DMatMatIntMatPointDoubleInt() {
- fail("Not yet implemented");
+ Mat kernel = new Mat(2, 2, CvType.CV_32F);
+ Point anchor = new Point(0, 0);
+
+ Imgproc.filter2D(gray128, dst, -1, kernel, anchor, 2.0, Imgproc.BORDER_CONSTANT);
+ assertMatEqual(gray2, dst);
}
public void testFindContoursMatListOfMatMatIntInt() {
}
public void testFitEllipse() {
- fail("Not yet implemented");
+ Mat points = new Mat(1, 6, CvType.CV_32FC2); //TODO: use the list of Point
+ points.put(0, 0, -1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0);
+
+ RotatedRect rrect = new RotatedRect();
+ rrect = Imgproc.fitEllipse(points);
+ assertEquals(0.0, rrect.center.x);
+ assertEquals(0.0, rrect.center.y);
+ assertEquals(2.0, rrect.size.width);
+ assertEquals(2.0, rrect.size.height);
}
public void testFitLine() {
- fail("Not yet implemented");
+ Mat points = new Mat(1, 4, CvType.CV_32FC2);
+ points.put(0, 0, 0.0, 0.0, 2.0, 3.0, 3.0, 4.0, 5.0, 8.0);
+
+ Mat linePoints = new Mat(4, 1, CvType.CV_32FC1);
+ linePoints.put(0, 0, 0.53196341, 0.84676737, 2.496531, 3.7467217);
+
+ Imgproc.fitLine(points, dst, Imgproc.CV_DIST_L12, 0, 0.01, 0.01);
+ assertMatEqual(linePoints, dst);
}
public void testFloodFillMatMatPointScalar() {
}
public void testGaussianBlurMatMatSizeDouble() {
- fail("Not yet implemented");
+ Size sz = new Size(3, 3);
+ Imgproc.GaussianBlur(gray0, dst, sz, 1.0);
+ assertMatEqual(gray0, dst);
+
+ Imgproc.GaussianBlur(gray2, dst, sz, 1.0);
+ assertMatEqual(gray2, dst);
+
}
public void testGaussianBlurMatMatSizeDoubleDouble() {
- fail("Not yet implemented");
+ Size sz = new Size(3, 3);
+
+ Imgproc.GaussianBlur(gray2, dst, sz, 0.0, 0.0);
+ assertMatEqual(gray2, dst);
}
public void testGaussianBlurMatMatSizeDoubleDoubleInt() {
- fail("Not yet implemented");
+ Size sz = new Size(3, 3);
+
+ Imgproc.GaussianBlur(gray2, dst, sz, 1.0, 3.0, Imgproc.BORDER_REFLECT);
+ assertMatEqual(gray2, dst);
}
public void testGetAffineTransform() {
}
public void testGetDefaultNewCameraMatrixMat() {
- fail("Not yet implemented");
+ Mat out = new Mat();
+
+ out = Imgproc.getDefaultNewCameraMatrix(gray0);
+ assertTrue(0 == Core.countNonZero(out));
+ assertFalse(out.empty());
}
public void testGetDefaultNewCameraMatrixMatSize() {
- fail("Not yet implemented");
+ Mat out = new Mat();
+ Size size = new Size(3, 3);
+
+ out = Imgproc.getDefaultNewCameraMatrix(gray0, size);
+ assertTrue(0 == Core.countNonZero(out));
+ assertFalse(out.empty());
}
public void testGetDefaultNewCameraMatrixMatSizeBoolean() {
- fail("Not yet implemented");
+ Mat out = new Mat();
+ Size size = new Size(3, 3);
+
+ out = Imgproc.getDefaultNewCameraMatrix(gray0, size, true);
+ assertTrue(0 != Core.countNonZero(out));
+ assertFalse(out.empty());
}
public void testGetDerivKernelsMatMatIntIntInt() {
- fail("Not yet implemented");
+ Mat kx = new Mat(2, 2, CvType.CV_32F);
+ Mat ky = new Mat(2, 2, CvType.CV_32F);
+ Mat expKx = new Mat(3, 1, CvType.CV_32F);
+ Mat expKy = new Mat(3, 1, CvType.CV_32F);
+
+ kx.put(0, 0, 1, 1);
+ kx.put(1, 0, 1, 1);
+
+ ky.put(0, 0, 2, 2);
+ ky.put(1, 0, 2, 2);
+
+ expKx.put(0, 0, 1, -2, 1);
+ expKy.put(0, 0, 1, -2, 1);
+
+ Imgproc.getDerivKernels(kx, ky, 2, 2, 3);
+ assertMatEqual(expKx, kx);
+ assertMatEqual(expKy, ky);
}
public void testGetDerivKernelsMatMatIntIntIntBoolean() {
- fail("Not yet implemented");
+ Mat kx = new Mat(2, 2, CvType.CV_32F);
+ Mat ky = new Mat(2, 2, CvType.CV_32F);
+ Mat expKx = new Mat(3, 1, CvType.CV_32F);
+ Mat expKy = new Mat(3, 1, CvType.CV_32F);
+
+ kx.put(0, 0, 1, 1);
+ kx.put(1, 0, 1, 1);
+
+ ky.put(0, 0, 2, 2);
+ ky.put(1, 0, 2, 2);
+
+ expKx.put(0, 0, 1, -2, 1);
+ expKy.put(0, 0, 1, -2, 1);
+
+ Imgproc.getDerivKernels(kx, ky, 2, 2, 3, true);
+ assertMatEqual(expKx, kx);
+ assertMatEqual(expKy, ky);
}
public void testGetDerivKernelsMatMatIntIntIntBooleanInt() {
- fail("Not yet implemented");
+ Mat kx = new Mat(2, 2, CvType.CV_32F);
+ Mat ky = new Mat(2, 2, CvType.CV_32F);
+ Mat expKx = new Mat(3, 1, CvType.CV_32F);
+ Mat expKy = new Mat(3, 1, CvType.CV_32F);
+
+ kx.put(0, 0, 1, 1);
+ kx.put(1, 0, 1, 1);
+
+ ky.put(0, 0, 2, 2);
+ ky.put(1, 0, 2, 2);
+
+ expKx.put(0, 0, 1, -2, 1);
+ expKy.put(0, 0, 1, -2, 1);
+
+ Imgproc.getDerivKernels(kx, ky, 2, 2, 3, true, CvType.CV_32F);
+ assertMatEqual(expKx, kx);
+ assertMatEqual(expKy, ky);
}
public void testGetGaussianKernelIntDouble() {
- fail("Not yet implemented");
+ Mat out = new Mat(1, 1, CvType.CV_64FC1, new Scalar(1.0));
+
+ dst = Imgproc.getGaussianKernel(1, 0.5);
+ assertMatEqual(out, dst);
+
}
public void testGetGaussianKernelIntDoubleInt() {
- fail("Not yet implemented");
+ Mat out = new Mat(3, 1, CvType.CV_32F);
+ out.put(0, 0, 0.23899426, 0.52201146, 0.23899426);
+
+ dst = Imgproc.getGaussianKernel(3, 0.8, CvType.CV_32F);
+ assertMatEqual(out, dst);
}
public void testGetRectSubPixMatSizePointMat() {
- fail("Not yet implemented");
+ Mat out = new Mat(3, 3, CvType.CV_8U, new Scalar(255));
+ Size patchSize = new Size(3, 3);
+ Point center = new Point(gray255.cols() / 2, gray255.rows() / 2);
+
+ Imgproc.getRectSubPix(gray255, patchSize, center, dst);
+ assertMatEqual(out, dst);
+
}
public void testGetRectSubPixMatSizePointMatInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(10, 10, CvType.CV_32F, new Scalar(2));
+ Mat out = new Mat(5, 5, CvType.CV_32F, new Scalar(2));
+ Size patchSize = new Size(5, 5);
+ Point center = new Point(src.cols() / 2, src.rows() / 2);
+
+ Imgproc.getRectSubPix(src, patchSize, center, dst);
+ assertMatEqual(out, dst);
}
public void testGetRotationMatrix2D() {
- fail("Not yet implemented");
+ Mat out = new Mat(2, 3, CvType.CV_64F);
+ out.put(0, 0, 1, 0, 0);
+ out.put(1, 0, 0, 1, 0);
+ Point center = new Point(0, 0);
+ dst = Imgproc.getRotationMatrix2D(center, 0.0, 1.0);
+ assertMatEqual(out, dst);
}
public void testGetStructuringElementIntSize() {
- fail("Not yet implemented");
+ Mat out = new Mat(3, 3, CvType.CV_8UC1, new Scalar(1.0));
+ Size ksize = new Size(3, 3);
+
+ dst = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, ksize);
+ assertMatEqual(out, dst);
}
public void testGetStructuringElementIntSizePoint() {
- fail("Not yet implemented");
+ Mat out = new Mat(3, 3, CvType.CV_8UC1);
+ Size ksize = new Size(3, 3);
+ Point point = new Point(2, 2);
+
+ out.put(0, 0, 0, 0, 1);
+ out.put(1, 0, 0, 0, 1);
+ out.put(2, 0, 1, 1, 1);
+
+ dst = Imgproc.getStructuringElement(Imgproc.MORPH_CROSS, ksize, point);
+ OpenCVTestRunner.Log(dst.dump());
+ assertMatEqual(out, dst);
}
public void testGoodFeaturesToTrackMatMatIntDoubleDouble() {
+ Mat src = new Mat(matSize, matSize, CvType.CV_32FC1, new Scalar(2.0));
+ Mat corners = new Mat(1, 4, CvType.CV_32FC2);
+ corners.put(0, 0, 1.0, 1.0, 6.0, 1.0, 6.0, 1.0, 6.0, 6.0);
+
+ Imgproc.goodFeaturesToTrack(src, dst, 100, 0.01, 5.0);
+ // TODO : How do we test this?
fail("Not yet implemented");
}
}
public void testHoughCirclesMatMatIntDoubleDouble() {
+ // double minDist = gray255.row(0)/4;
+ // Imgproc.HoughCircles(gray255, dst, Imgproc.CV_HOUGH_GRADIENT, 2.0,
+ // 0.5);
+ // TODO : How do we test this?
+
fail("Not yet implemented");
}
}
public void testInitUndistortRectifyMap() {
+ Mat cameraMatrix = new Mat(3, 3, CvType.CV_32F);
+ cameraMatrix.put(0, 0, 1, 0, 1);
+ cameraMatrix.put(1, 0, 0, 1, 1);
+ cameraMatrix.put(2, 0, 0, 0, 1);
+
+ Mat R = new Mat(3, 3, CvType.CV_32F, new Scalar(2.0));
+ Mat newCameraMatrix = new Mat(3, 3, CvType.CV_32F, new Scalar(3.0));
+
+ Mat distCoeffs = new Mat();
+ Size size = new Size(3, 3);
+ Mat map1 = new Mat();
+ Mat map2 = new Mat();
+
+ //FIXME: dstmap1 - Documentation says Cvtype but requires integer
+ Imgproc.initUndistortRectifyMap(cameraMatrix, distCoeffs, R, newCameraMatrix, size, CvType.CV_32F, map1, map2);
fail("Not yet implemented");
}
public void testInitWideAngleProjMapMatMatSizeIntIntMatMat() {
+ Mat cameraMatrix = new Mat(3, 3, CvType.CV_32F);
+ Mat distCoeffs = new Mat(1, 4, CvType.CV_32F);
+ // Size imageSize = new Size(2, 2);
+
+ cameraMatrix.put(0, 0, 1, 0, 1);
+ cameraMatrix.put(1, 0, 0, 1, 2);
+ cameraMatrix.put(2, 0, 0, 0, 1);
+
+ out.put(0, 0, 0, 0, 0);
+ out.put(1, 0, 0, 0, 0);
+ out.put(2, 0, 0, 3, 0);
+
+ distCoeffs.put(0, 0, 1.0, 3.0, 2.0, 4);
+ // TODO: No documentation for this function
+ // Imgproc.initWideAngleProjMap(cameraMatrix, distCoeffs, imageSize, 5.0, m1type, output1, output2);
fail("Not yet implemented");
}
}
public void testInpaint() {
- fail("Not yet implemented");
+ Imgproc.inpaint(gray255, gray128, dst, 3.0, Imgproc.INPAINT_TELEA);
+ assertMatEqual(gray255, dst);
}
public void testIntegral2MatMatMat() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(3.0));
+ Mat expSum = new Mat(4, 4, CvType.CV_64F);
+ Mat expSqsum = new Mat(4, 4, CvType.CV_64F);
+ Mat sum = new Mat();
+ Mat sqsum = new Mat();
+
+ expSum.put(0, 0, 0, 0, 0, 0);
+ expSum.put(1, 0, 0, 3, 6, 9);
+ expSum.put(2, 0, 0, 6, 12, 18);
+ expSum.put(3, 0, 0, 9, 18, 27);
+
+ expSqsum.put(0, 0, 0, 0, 0, 0);
+ expSqsum.put(1, 0, 0, 9, 18, 27);
+ expSqsum.put(2, 0, 0, 18, 36, 54);
+ expSqsum.put(3, 0, 0, 27, 54, 81);
+
+ Imgproc.integral2(src, sum, sqsum);
+ assertMatEqual(expSum, sum);
+ assertMatEqual(expSqsum, sqsum);
}
public void testIntegral2MatMatMatInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(3.0));
+ Mat expSum = new Mat(4, 4, CvType.CV_64F);
+ Mat expSqsum = new Mat(4, 4, CvType.CV_64F);
+ Mat sum = new Mat();
+ Mat sqsum = new Mat();
+
+ expSum.put(0, 0, 0, 0, 0, 0);
+ expSum.put(1, 0, 0, 3, 6, 9);
+ expSum.put(2, 0, 0, 6, 12, 18);
+ expSum.put(3, 0, 0, 9, 18, 27);
+
+ expSqsum.put(0, 0, 0, 0, 0, 0);
+ expSqsum.put(1, 0, 0, 9, 18, 27);
+ expSqsum.put(2, 0, 0, 18, 36, 54);
+ expSqsum.put(3, 0, 0, 27, 54, 81);
+
+ Imgproc.integral2(src, sum, sqsum, CvType.CV_64F);
+ assertMatEqual(expSum, sum);
+ assertMatEqual(expSqsum, sqsum);
}
public void testIntegral3MatMatMatMat() {
- fail("Not yet implemented");
+ Mat src = new Mat(1, 1, CvType.CV_32F, new Scalar(1.0));
+ Mat expSum = new Mat(2, 2, CvType.CV_64F);
+ Mat expSqsum = new Mat(2, 2, CvType.CV_64F);
+ Mat expTilted = new Mat(2, 2, CvType.CV_64F);
+ Mat sum = new Mat();
+ Mat sqsum = new Mat();
+ Mat tilted = new Mat();
+
+ expSum.put(0, 0, 0, 0);
+ expSum.put(1, 0, 0, 1);
+
+ expSqsum.put(0, 0, 0, 0);
+ expSqsum.put(1, 0, 0, 1);
+
+ expTilted.put(0, 0, 0, 0);
+ expTilted.put(1, 0, 0, 1);
+
+ Imgproc.integral3(src, sum, sqsum, tilted);
+ assertMatEqual(expSum, sum);
+ assertMatEqual(expSqsum, sqsum);
+ assertMatEqual(expTilted, tilted);
+
}
public void testIntegral3MatMatMatMatInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(1, 1, CvType.CV_32F, new Scalar(1.0));
+ Mat expSum = new Mat(2, 2, CvType.CV_64F);
+ Mat expSqsum = new Mat(2, 2, CvType.CV_64F);
+ Mat expTilted = new Mat(2, 2, CvType.CV_64F);
+ Mat sum = new Mat();
+ Mat sqsum = new Mat();
+ Mat tilted = new Mat();
+
+ expSum.put(0, 0, 0, 0);
+ expSum.put(1, 0, 0, 1);
+
+ expSqsum.put(0, 0, 0, 0);
+ expSqsum.put(1, 0, 0, 1);
+
+ expTilted.put(0, 0, 0, 0);
+ expTilted.put(1, 0, 0, 1);
+
+ Imgproc.integral3(src, sum, sqsum, tilted, CvType.CV_64F);
+ assertMatEqual(expSum, sum);
+ assertMatEqual(expSqsum, sqsum);
+ assertMatEqual(expTilted, tilted);
}
public void testIntegralMatMat() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_32F, new Scalar(2.0));
+ Mat out = new Mat(3, 3, CvType.CV_64F);
+
+ out.put(0, 0, 0, 0, 0);
+ out.put(1, 0, 0, 2, 4);
+ out.put(2, 0, 0, 4, 8);
+
+ Imgproc.integral(src, dst);
+ assertMatEqual(out, dst);
+
}
public void testIntegralMatMatInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_32F, new Scalar(2.0));
+ Mat out = new Mat(3, 3, CvType.CV_64F);
+
+ out.put(0, 0, 0, 0, 0);
+ out.put(1, 0, 0, 2, 4);
+ out.put(2, 0, 0, 4, 8);
+
+ Imgproc.integral(src, dst, CvType.CV_64F);
+ assertMatEqual(out, dst);
}
public void testInvertAffineTransform() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 3, CvType.CV_64F);
+ Mat out = new Mat(2, 3, CvType.CV_64F, new Scalar(0));
+
+ src.put(0, 0, 1, 1, 1);
+ src.put(1, 0, 1, 1, 1);
+
+ Imgproc.invertAffineTransform(src, dst);
+ assertMatEqual(out, dst);
}
public void testIsContourConvex() {
- fail("Not yet implemented");
+ Mat contour1 = new Mat(1, 4, CvType.CV_32FC2);
+ contour1.put(0, 0, 0.0, 0.0, 10.0, 0.0, 10.0, 10.0, 5.0, 4.0);
+ assertFalse(Imgproc.isContourConvex(contour1));
+
+ Mat contour2 = new Mat(1, 2, CvType.CV_32FC2);
+ contour2.put(0, 0, 1.0, 1.0, 5.0, 1.0);
+ assertFalse(Imgproc.isContourConvex(contour2));
}
public void testLaplacianMatMatInt() {
- fail("Not yet implemented");
+ Imgproc.Laplacian(gray0, dst, CvType.CV_8U);
+ assertMatEqual(gray0, dst);
}
public void testLaplacianMatMatIntInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(2.0));
+ Mat out = new Mat(3, 3, CvType.CV_32F, new Scalar(0.0));
+ Imgproc.Laplacian(src, dst, CvType.CV_32F, 1);
+ assertMatEqual(out, dst);
}
public void testLaplacianMatMatIntIntDouble() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_32F);
+ Mat out = new Mat(2, 2, CvType.CV_32F);
+
+ src.put(0, 0, 1, 0);
+ src.put(1, 0, 0, 1);
+
+ out.put(0, 0, -8, 8);
+ out.put(1, 0, 8, -8);
+
+ Imgproc.Laplacian(src, dst, CvType.CV_32F, 1, 2.0);
+ OpenCVTestRunner.Log(dst.dump());
+ assertMatEqual(out, dst);
+
}
public void testLaplacianMatMatIntIntDoubleDouble() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_32F);
+ Mat out = new Mat(2, 2, CvType.CV_32F);
+ double delta = 0.0;
+ src.put(0, 0, 1, 0);
+ src.put(1, 0, 0, 1);
+
+ out.put(0, 0, -8, 8);
+ out.put(1, 0, 8, -8);
+
+ Imgproc.Laplacian(src, dst, CvType.CV_32F, 1, 2.0, delta);
+ OpenCVTestRunner.Log(dst.dump());
+ assertMatEqual(out, dst);
}
public void testLaplacianMatMatIntIntDoubleDoubleInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(2.0));
+ Mat out = new Mat(3, 3, CvType.CV_32F, new Scalar(0.0));
+ double delta = 0.0;
+ Imgproc.Laplacian(src, dst, CvType.CV_32F, 1, 2.0, delta,
+ Imgproc.BORDER_REFLECT);
+ assertMatEqual(out, dst);
}
public void testMatchShapes() {
- fail("Not yet implemented");
+ Mat contour1 = new Mat(1, 4, CvType.CV_32FC2);
+ Mat contour2 = new Mat(1, 4, CvType.CV_32FC2);
+
+ contour1.put(0, 0, 1.0, 1.0, 5.0, 1.0, 4.0, 3.0, 6.0, 2.0);
+ contour1.put(0, 0, 1.0, 1.0, 6.0, 1.0, 4.0, 1.0, 2.0, 5.0);
+
+ double comparer = Imgproc.matchShapes(contour1, contour2, Imgproc.CV_CONTOURS_MATCH_I1, 0.0);
+ double expComparer = 3.277376429165456;
+ assertEquals(expComparer, comparer);
}
public void testMatchTemplate() {
- fail("Not yet implemented");
+ Mat image = new Mat(2, 2, CvType.CV_8U);
+ Mat templ = new Mat(2, 2, CvType.CV_8U);
+
+ image.put(0, 0, 1, 2, 3, 4);
+ templ.put(0, 0, 5, 6, 7, 8);
+
+ truth = new Mat(1, 1, CvType.CV_32F, new Scalar(70));
+ Imgproc.matchTemplate(image, templ, dst, Imgproc.TM_CCORR);
+ assertMatEqual(truth, dst);
+
+ truth = new Mat(1, 1, CvType.CV_32F, new Scalar(0));
+ Imgproc.matchTemplate(gray255, gray0, dst, Imgproc.TM_CCORR);
+ assertMatEqual(truth, dst);
}
public void testMedianBlur() {
- fail("Not yet implemented");
+ Imgproc.medianBlur(gray255, dst, 5);
+ assertMatEqual(gray255, dst);
+
+ Imgproc.medianBlur(gray2, dst, 3);
+ assertMatEqual(gray2, dst);
}
public void testMinAreaRect() {
+ Mat points = new Mat(1, 4, CvType.CV_32FC2);
+ points.put(0, 0, 1.0, 1.0, 5.0, 1.0, 4.0, 3.0, 6.0, 2.0);
+ RotatedRect rotatedDst = new RotatedRect();
+ rotatedDst = Imgproc.minAreaRect(points);
+ // TODO - how to test rotated rectangle
fail("Not yet implemented");
}
public void testMinEnclosingCircle() {
+ Mat points = new Mat(1, 4, CvType.CV_32FC2);
+ Point actualCenter = new Point();
+ Point expCenter = new Point(0, 0);
+ float radius = 0.0f;
+ // float expectedRadius = 1.0f;
+ points.put(0, 0, -1.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, -1.0);
+ // TODO : Unexpected radius is returned i.e 0
+ Imgproc.minEnclosingCircle(points, actualCenter, radius);
+ assertEquals(expCenter, actualCenter);
+ // assertEquals(expectedRadius, radius);
fail("Not yet implemented");
}
}
public void testMorphologyExMatMatIntMat() {
- fail("Not yet implemented");
+ Imgproc.morphologyEx(gray255, dst, Imgproc.MORPH_GRADIENT, gray0);
+ assertMatEqual(gray0, dst);
}
public void testMorphologyExMatMatIntMatPoint() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_8U);
+ Mat kernel = new Mat(2, 2, CvType.CV_8U, new Scalar(0));
+ Mat out = new Mat(2, 2, CvType.CV_8U);
+ Point point = new Point(0, 0);
+
+ src.put(0, 0, 1, 0);
+ src.put(1, 0, 0, 1);
+
+ out.put(0, 0, 1, 0);
+ out.put(1, 0, 0, 1);
+
+ Imgproc.morphologyEx(src, dst, Imgproc.MORPH_OPEN, kernel, point);
+ assertMatEqual(out, dst);
}
public void testMorphologyExMatMatIntMatPointInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_8U);
+ Mat kernel = new Mat(2, 2, CvType.CV_8U, new Scalar(0));
+ Mat out = new Mat(2, 2, CvType.CV_8U);
+ Point point = new Point(0, 0);
+
+ src.put(0, 0, 1, 0);
+ src.put(1, 0, 0, 1);
+
+ out.put(0, 0, 1, 0);
+ out.put(1, 0, 0, 1);
+
+ Imgproc.morphologyEx(src, dst, Imgproc.MORPH_CLOSE, kernel, point, 10);
+ assertMatEqual(out, dst);
}
public void testMorphologyExMatMatIntMatPointIntInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_8U);
+ Mat kernel = new Mat(2, 2, CvType.CV_8U, new Scalar(1));
+ Mat out = new Mat(2, 2, CvType.CV_8U);
+ Point point = new Point(1, 1);
+
+ src.put(0, 0, 2, 1);
+ src.put(1, 0, 2, 1);
+
+ out.put(0, 0, 1, 0);
+ out.put(1, 0, 1, 0);
+
+ Imgproc.morphologyEx(src, dst, Imgproc.MORPH_TOPHAT, kernel, point, 10,
+ Imgproc.BORDER_REFLECT);
+ assertMatEqual(out, dst);
}
public void testMorphologyExMatMatIntMatPointIntIntScalar() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_8U);
+ Mat kernel = new Mat(2, 2, CvType.CV_8U, new Scalar(1));
+ Mat out = new Mat(2, 2, CvType.CV_8U);
+ Point point = new Point(1, 1);
+ Scalar sc = new Scalar(3, 3);
+
+ src.put(0, 0, 2, 1);
+ src.put(1, 0, 2, 1);
+
+ out.put(0, 0, 1, 0);
+ out.put(1, 0, 1, 0);
+
+ Imgproc.morphologyEx(src, dst, Imgproc.MORPH_TOPHAT, kernel, point, 10,
+ Imgproc.BORDER_REFLECT, sc);
+ assertMatEqual(out, dst);
}
public void testPointPolygonTest() {
- fail("Not yet implemented");
+ Mat contour1 = new Mat(1, 5, CvType.CV_32FC2);
+
+ contour1.put(0, 0, 0.0, 0.0, 1.0, 3.0, 3.0, 4.0, 4.0, 3.0, 2.0, 1.0);
+ Point pt1 = new Point(contour1.cols() / 2, contour1.rows() / 2);
+
+ double sign1 = Imgproc.pointPolygonTest(contour1, pt1, false);
+ assertTrue(sign1 < 0);
+
+ Mat contour2 = new Mat(1, 3, CvType.CV_32FC2);
+ contour2.put(0, 0, 0.0, 0.0, 2.0, 0.0, 1.0, 3.0);
+ Point pt2 = new Point(1, 1);
+
+ double sign2 = Imgproc.pointPolygonTest(contour2, pt2, false);
+ assertEquals(100.0, sign2);
}
public void testPreCornerDetectMatMatInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(4, 4, CvType.CV_32F, new Scalar(1));
+ Mat out = new Mat(4, 4, CvType.CV_32F, new Scalar(0));
+ int ksize = 3;
+
+ Imgproc.preCornerDetect(src, dst, ksize);
+ assertMatEqual(out, dst);
}
public void testPreCornerDetectMatMatIntInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(4, 4, CvType.CV_32F, new Scalar(1));
+ Mat out = new Mat(4, 4, CvType.CV_32F, new Scalar(0));
+ int ksize = 3;
+
+ Imgproc.preCornerDetect(src, dst, ksize, Imgproc.BORDER_REFLECT);
+ assertMatEqual(out, dst);
}
public void testPyrDownMatMat() {
- fail("Not yet implemented");
+ Mat src = new Mat(4, 4, CvType.CV_32F);
+ Mat out = new Mat(2, 2, CvType.CV_32F);
+
+ src.put(0, 0, 2, 1, 4, 2);
+ src.put(1, 0, 3, 2, 6, 8);
+ src.put(2, 0, 4, 6, 8, 10);
+ src.put(3, 0, 12, 32, 6, 18);
+
+ out.put(0, 0, 2.78125, 4.609375);
+ out.put(1, 0, 8.546875, 8.8515625);
+
+ Imgproc.pyrDown(src, dst);
+ ;
+ assertMatEqual(out, dst);
+
}
public void testPyrDownMatMatSize() {
- fail("Not yet implemented");
+ Mat src = new Mat(4, 4, CvType.CV_32F);
+ Mat out = new Mat(2, 2, CvType.CV_32F);
+ Size dstSize = new Size(2, 2);
+
+ src.put(0, 0, 2, 1, 4, 2);
+ src.put(1, 0, 3, 2, 6, 8);
+ src.put(2, 0, 4, 6, 8, 10);
+ src.put(3, 0, 12, 32, 6, 18);
+
+ out.put(0, 0, 2.78125, 4.609375);
+ out.put(1, 0, 8.546875, 8.8515625);
+
+ Imgproc.pyrDown(src, dst, dstSize);
+ assertMatEqual(out, dst);
}
public void testPyrMeanShiftFilteringMatMatDoubleDouble() {
+ Mat src = new Mat(8, 8, CvType.CV_8UC3, new Scalar(1.0));
+ Imgproc.pyrMeanShiftFiltering(src, dst, 2.0, 4.0);
fail("Not yet implemented");
}
}
public void testPyrUpMatMat() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_32F);
+ Mat out = new Mat(4, 4, CvType.CV_32F);
+
+ src.put(0, 0, 2, 1);
+ src.put(1, 0, 3, 2);
+
+ out.put(0, 0, 2, 1.75, 1.375, 1.25);
+ out.put(1, 0, 2.25, 2, 1.625, 1.5);
+ out.put(2, 0, 2.5, 2.25, 1.875, 1.75);
+ out.put(3, 0, 2.25, 2, 1.625, 1.5);
+
+ Imgproc.pyrUp(src, dst);
+ assertMatEqual(out, dst);
}
public void testPyrUpMatMatSize() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_32F);
+ Mat out = new Mat(4, 4, CvType.CV_32F);
+ Size dstSize = new Size(4, 4);
+
+ src.put(0, 0, 2, 1);
+ src.put(1, 0, 3, 2);
+
+ out.put(0, 0, 2, 1.75, 1.375, 1.25);
+ out.put(1, 0, 2.25, 2, 1.625, 1.5);
+ out.put(2, 0, 2.5, 2.25, 1.875, 1.75);
+ out.put(3, 0, 2.25, 2, 1.625, 1.5);
+
+ Imgproc.pyrUp(src, dst, dstSize);
+ assertMatEqual(out, dst);
}
public void testRemapMatMatMatMatInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_32F, new Scalar(2.0));
+ Mat map1 = new Mat(1, 3, CvType.CV_32FC1);
+ Mat map2 = new Mat(1, 3, CvType.CV_32FC1);
+ Mat out = new Mat(1, 3, CvType.CV_32F, new Scalar(0));
+
+ map1.put(0, 0, 3.0, 6.0, 5, 0);
+ map2.put(0, 0, 4.0, 8.0, 12.0);
+
+ Imgproc.remap(src, dst, map1, map2, Imgproc.INTER_LINEAR);
+ assertMatEqual(out, dst);
}
public void testRemapMatMatMatMatIntInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_32F, new Scalar(2.0));
+ Mat map1 = new Mat(1, 3, CvType.CV_32FC1);
+ Mat map2 = new Mat(1, 3, CvType.CV_32FC1);
+ Mat out = new Mat(1, 3, CvType.CV_32F, new Scalar(2));
+
+ map1.put(0, 0, 3.0, 6.0, 5, 0);
+ map2.put(0, 0, 4.0, 8.0, 12.0);
+
+ Imgproc.remap(src, dst, map1, map2, Imgproc.INTER_LINEAR,
+ Imgproc.BORDER_REFLECT);
+ assertMatEqual(out, dst);
}
public void testRemapMatMatMatMatIntIntScalar() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_32F, new Scalar(2.0));
+ Mat map1 = new Mat(1, 3, CvType.CV_32FC1);
+ Mat map2 = new Mat(1, 3, CvType.CV_32FC1);
+ Mat out = new Mat(1, 3, CvType.CV_32F, new Scalar(2));
+ Scalar sc = new Scalar(0.0);
+
+ map1.put(0, 0, 3.0, 6.0, 5, 0);
+ map2.put(0, 0, 4.0, 8.0, 12.0);
+
+ Imgproc.remap(src, dst, map1, map2, Imgproc.INTER_LINEAR,
+ Imgproc.BORDER_REFLECT, sc);
+ assertMatEqual(out, dst);
}
public void testResizeMatMatSize() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_8UC1, new Scalar(1.0));
+ Mat out = new Mat(1, 1, CvType.CV_8UC1, new Scalar(1.0));
+ Size dsize = new Size(1, 1);
+
+ Imgproc.resize(src, dst, dsize);
+ assertMatEqual(out, dst);
}
public void testResizeMatMatSizeDouble() {
- fail("Not yet implemented");
+ Size dsize = new Size(2, 2);
+ Mat out = new Mat(2, 2, CvType.CV_8UC1, new Scalar(255));
+
+ Imgproc.resize(gray255, dst, dsize, 0.5);
+ assertMatEqual(out, dst);
}
public void testResizeMatMatSizeDoubleDouble() {
- fail("Not yet implemented");
+ Size dsize = new Size(2, 2);
+ Mat out = new Mat(2, 2, CvType.CV_8UC1, new Scalar(255));
+
+ Imgproc.resize(gray255, dst, dsize, 0.0, 0.0);
+ assertMatEqual(out, dst);
}
public void testResizeMatMatSizeDoubleDoubleInt() {
- fail("Not yet implemented");
+ Size dsize = new Size(2, 2);
+ Mat out = new Mat(2, 2, CvType.CV_8UC1, new Scalar(255));
+
+ Imgproc.resize(gray255, dst, dsize, 1.5, 1.5, Imgproc.INTER_AREA);
+ assertMatEqual(out, dst);
}
public void testScharrMatMatIntIntInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_32F);
+ src.put(0, 0, 1, 0);
+ src.put(1, 0, 0, 1);
+
+ Mat out = new Mat(2, 2, CvType.CV_32F, new Scalar(0));
+
+ Imgproc.Scharr(src, dst, CvType.CV_32F, 1, 0);
+ assertMatEqual(out, dst);
+
}
public void testScharrMatMatIntIntIntDouble() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_32F);
+ src.put(0, 0, 1, 0);
+ src.put(1, 0, 0, 1);
+
+ Mat out = new Mat(2, 2, CvType.CV_32F, new Scalar(0));
+
+ Imgproc.Scharr(src, dst, CvType.CV_32F, 0, 1, 1.5);
+ assertMatEqual(out, dst);
}
public void testScharrMatMatIntIntIntDoubleDouble() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_32F);
+ src.put(0, 0, 1, 0);
+ src.put(1, 0, 0, 1);
+
+ Mat out = new Mat(2, 2, CvType.CV_32F, new Scalar(0.001));
+
+ Imgproc.Scharr(src, dst, CvType.CV_32F, 1, 0, 1.5, 0.001);
+ assertMatEqual(out, dst);
}
public void testScharrMatMatIntIntIntDoubleDoubleInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_32F);
+ src.put(0, 0, 1, 0, 0);
+ src.put(1, 0, 0, 1, 0);
+ src.put(2, 0, 0, 0, 1);
+
+ Mat out = new Mat(3, 3, CvType.CV_32F);
+ out.put(0, 0, -15, -19.5, -4.5);
+ out.put(1, 0, 10.5, 0, -10.5);
+ out.put(2, 0, 4.5, 19.5, 15);
+
+ Imgproc.Scharr(src, dst, CvType.CV_32F, 1, 0, 1.5, 0.0,
+ Imgproc.BORDER_REFLECT);
+
}
public void testSepFilter2DMatMatIntMatMat() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_32F, new Scalar(2.0));
+ Mat kernelX = new Mat(1, 3, CvType.CV_32FC1);
+ Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
+ Mat out = new Mat(2, 2, CvType.CV_32F, new Scalar(420));
+
+ kernelX.put(0, 0, 4.0, 3.0, 7.0);
+ kernelY.put(0, 0, 9.0, 4.0, 2.0);
+
+ Imgproc.sepFilter2D(src, dst, CvType.CV_32F, kernelX, kernelY);
+ OpenCVTestRunner.Log(dst.dump());
+ assertMatEqual(out, dst);
}
public void testSepFilter2DMatMatIntMatMatPoint() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_32FC1, new Scalar(2.0));
+ Mat kernelX = new Mat(1, 3, CvType.CV_32FC1);
+ Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
+ Mat out = new Mat(2, 2, CvType.CV_32F, new Scalar(36.0));
+ Point point = new Point(2, 2);
+
+ kernelX.put(0, 0, 2.0, 2.0, 2.0);
+ kernelY.put(0, 0, 1.0, 1.0, 1.0);
+
+ Imgproc.sepFilter2D(src, dst, CvType.CV_32F, kernelX, kernelY, point);
+ assertMatEqual(out, dst);
}
public void testSepFilter2DMatMatIntMatMatPointDouble() {
- fail("Not yet implemented");
+ Mat src = new Mat(2, 2, CvType.CV_32FC1, new Scalar(2.0));
+ Mat kernelX = new Mat(1, 3, CvType.CV_32FC1);
+ Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
+ Mat out = new Mat(2, 2, CvType.CV_32F, new Scalar(36.001));
+ Point point = new Point(2, 2);
+ double delta = 0.001;
+
+ kernelX.put(0, 0, 2.0, 2.0, 2.0);
+ kernelY.put(0, 0, 1.0, 1.0, 1.0);
+
+ Imgproc.sepFilter2D(src, dst, CvType.CV_32F, kernelX, kernelY, point,
+ delta);
+ assertMatEqual(out, dst);
}
public void testSepFilter2DMatMatIntMatMatPointDoubleInt() {
- fail("Not yet implemented");
+ Mat kernelX = new Mat(1, 3, CvType.CV_32FC1);
+ Mat kernelY = new Mat(1, 3, CvType.CV_32FC1);
+ Mat out = new Mat(10, 10, CvType.CV_32F, new Scalar(0.001));
+ Point point = new Point(2, 2);
+ double delta = 0.001;
+
+ kernelX.put(0, 0, 2.0, 2.0, 2.0);
+ kernelY.put(0, 0, 1.0, 1.0, 1.0);
+
+ Imgproc.sepFilter2D(gray0, dst, CvType.CV_32F, kernelX, kernelY, point,
+ delta, Imgproc.BORDER_REFLECT);
+ assertMatEqual(out, dst);
}
public void testSobelMatMatIntIntInt() {
- fail("Not yet implemented");
+ Imgproc.Sobel(gray0, dst, CvType.CV_8U, 2, 0);
+ assertMatEqual(gray0, dst);
}
public void testSobelMatMatIntIntIntInt() {
- fail("Not yet implemented");
+ Imgproc.Sobel(gray255, dst, CvType.CV_8U, 1, 0, 3);
+ assertMatEqual(gray0, dst);
}
public void testSobelMatMatIntIntIntIntDouble() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_32F);
+ src.put(0, 0, 2, 0, 1);
+ src.put(1, 0, 3, 0, -10);
+ src.put(2, 0, -4, 0, 3);
+
+ Mat out = new Mat(3, 3, CvType.CV_32F);
+ out.put(0, 0, 0, -56, 0);
+ out.put(1, 0, 0, -40, 0);
+ out.put(2, 0, 0, -24, 0);
+
+ Imgproc.Sobel(src, dst, CvType.CV_32F, 1, 0, 3, 2.0);
+ assertMatEqual(out, dst);
+
}
public void testSobelMatMatIntIntIntIntDoubleDouble() {
- fail("Not yet implemented");
+ Imgproc.Sobel(gray255, dst, CvType.CV_8U, 1, 0, 3, 2.0, 0.001);
+ assertMatEqual(gray0, dst);
}
public void testSobelMatMatIntIntIntIntDoubleDoubleInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_32F);
+ src.put(0, 0, 2, 0, 1);
+ src.put(1, 0, 6, 4, 3);
+ src.put(2, 0, 1, 0, 2);
+
+ Mat out = new Mat(3, 3, CvType.CV_32F);
+ out.put(0, 0, -16, -12, 4);
+ out.put(1, 0, -14, -12, 2);
+ out.put(2, 0, -10, 0, 10);
+
+ Imgproc.Sobel(src, dst, CvType.CV_32F, 1, 0, 3, 2.0, 0.0,
+ Imgproc.BORDER_REPLICATE);
+ assertMatEqual(out, dst);
}
public void testThreshold() {
- fail("Not yet implemented");
+ Imgproc.threshold(gray0, dst, 0.25, 255.0, Imgproc.THRESH_TRUNC);
+ assertMatEqual(gray0, dst);
+
+ Imgproc.threshold(gray1, dst, 0.25, 255.0, Imgproc.THRESH_BINARY);
+ assertMatEqual(gray255, dst);
+
+ Imgproc.threshold(gray0, dst, 0.25, 255.0, Imgproc.THRESH_BINARY_INV);
+ assertMatEqual(gray255, dst);
}
public void testUndistortMatMatMatMat() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(3.0));
+ Mat out = new Mat(3, 3, CvType.CV_32F);
+ Mat cameraMatrix = new Mat(3, 3, CvType.CV_32F);
+ Mat distCoeffs = new Mat(1, 4, CvType.CV_32F);
+
+ cameraMatrix.put(0, 0, 1, 0, 1);
+ cameraMatrix.put(1, 0, 0, 1, 2);
+ cameraMatrix.put(2, 0, 0, 0, 1);
+
+ out.put(0, 0, 0, 0, 0);
+ out.put(1, 0, 0, 0, 0);
+ out.put(2, 0, 0, 3, 0);
+
+ distCoeffs.put(0, 0, 1.0, 3.0, 2.0, 4.0);
+
+ Imgproc.undistort(src, dst, cameraMatrix, distCoeffs);
+ assertMatEqual(out, dst);
}
public void testUndistortMatMatMatMatMat() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_32F, new Scalar(3.0));
+ Mat out = new Mat(3, 3, CvType.CV_32F, new Scalar(3.0));
+ Mat cameraMatrix = new Mat(3, 3, CvType.CV_32F);
+ Mat newCameraMatrix = new Mat(3, 3, CvType.CV_32F);
+ Mat distCoeffs = new Mat(1, 4, CvType.CV_32F);
+
+ cameraMatrix.put(0, 0, 1, 0, 2);
+ cameraMatrix.put(1, 0, 0, 1, 2);
+ cameraMatrix.put(2, 0, 0, 0, 1);
+
+ distCoeffs.put(0, 0, 1.0, 4.0, 0.0, 5.0);
+
+ Imgproc.undistort(src, dst, cameraMatrix, distCoeffs, newCameraMatrix);
+ assertMatEqual(out, dst);
}
public void testWarpAffineMatMatMatSize() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_32F);
+ Mat out = new Mat(3, 3, CvType.CV_32F);
+ Size dsize = new Size(3, 3);
+ Mat M = new Mat(2, 3, CvType.CV_32F);
+
+ src.put(0, 0, 2, 0, 1);
+ src.put(1, 0, 6, 4, 3);
+ src.put(2, 0, 1, 0, 2);
+
+ out.put(0, 0, 0, 0, 0);
+ out.put(1, 0, 0, 2, 0);
+ out.put(2, 0, 0, 6, 4);
+
+ M.put(0, 0, 1, 0, 1);
+ M.put(1, 0, 0, 1, 1);
+
+ Imgproc.warpAffine(src, dst, M, dsize);
+ assertMatEqual(out, dst);
}
public void testWarpAffineMatMatMatSizeInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_32F);
+ Mat out = new Mat(2, 2, CvType.CV_32F);
+ Size dsize = new Size(2, 2);
+ Mat M = new Mat(2, 3, CvType.CV_32F);
+
+ src.put(0, 0, 2, 4, 1);
+ src.put(1, 0, 6, 4, 3);
+ src.put(2, 0, 0, 2, 2);
+
+ out.put(0, 0, 6, 4);
+ out.put(1, 0, 6, 4);
+
+ M.put(0, 0, 1, 0, 0);
+ M.put(1, 0, 0, 0, 1);
+
+ Imgproc.warpAffine(src, dst, M, dsize, Imgproc.WARP_INVERSE_MAP);
+ OpenCVTestRunner.Log(dst.dump());
+ assertMatEqual(out, dst);
}
public void testWarpAffineMatMatMatSizeIntInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_32F);
+ Mat out = new Mat(2, 2, CvType.CV_32F);
+ Size dsize = new Size(2, 2);
+ Mat M = new Mat(2, 3, CvType.CV_32F);
+
+ src.put(0, 0, 2, 4, 1);
+ src.put(1, 0, 6, 4, 3);
+ src.put(2, 0, 0, 2, 2);
+
+ out.put(0, 0, 6, 4);
+ out.put(1, 0, 6, 4);
+
+ M.put(0, 0, 1, 0, 0);
+ M.put(1, 0, 0, 0, 1);
+
+ Imgproc.warpAffine(src, dst, M, dsize, Imgproc.WARP_INVERSE_MAP,
+ Imgproc.BORDER_TRANSPARENT);
+ assertMatEqual(out, dst);
}
public void testWarpAffineMatMatMatSizeIntIntScalar() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_32F);
+ Mat out = new Mat(2, 2, CvType.CV_32F);
+ Size dsize = new Size(2, 2);
+ Mat M = new Mat(2, 3, CvType.CV_32F);
+ Scalar sc = new Scalar(1.0);
+
+ src.put(0, 0, 2, 4, 1);
+ src.put(1, 0, 6, 4, 3);
+ src.put(2, 0, 0, 2, 2);
+
+ out.put(0, 0, 6, 4);
+ out.put(1, 0, 6, 4);
+
+ M.put(0, 0, 1, 0, 0);
+ M.put(1, 0, 0, 0, 1);
+
+ Imgproc.warpAffine(src, dst, M, dsize, Imgproc.WARP_INVERSE_MAP,
+ Imgproc.BORDER_CONSTANT, sc);
+ assertMatEqual(out, dst);
}
public void testWarpPerspectiveMatMatMatSize() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_32F);
+ Size dsize = new Size(3, 3);
+ Mat M = new Mat(3, 3, CvType.CV_32F);
+
+ src.put(0, 0, 2, 4, 1);
+ src.put(1, 0, 0, 4, 5);
+ src.put(2, 0, 1, 2, 2);
+
+ M.put(0, 0, 1, 0, 1);
+ M.put(1, 0, 0, 1, 1);
+ M.put(2, 0, 0, 0, 1);
+
+ truth = new Mat(3, 3, CvType.CV_32F);
+ truth.put(0, 0, 0, 0, 0);
+ truth.put(1, 0, 0, 2, 4);
+ truth.put(2, 0, 0, 0, 4);
+
+ Imgproc.warpPerspective(src, dst, M, dsize);
+ assertMatEqual(truth, dst);
}
public void testWarpPerspectiveMatMatMatSizeInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_32F);
+ Mat out = new Mat(2, 2, CvType.CV_32F, new Scalar(2.0));
+ Size dsize = new Size(2, 2);
+ Mat M = new Mat(3, 3, CvType.CV_32F);
+
+ src.put(0, 0, 2, 4, 1);
+ src.put(1, 0, 6, 4, 3);
+ src.put(2, 0, 0, 2, 2);
+
+ M.put(0, 0, 1, 0, 0);
+ M.put(1, 0, 0, 0, 1);
+
+ Imgproc.warpPerspective(src, dst, M, dsize, Imgproc.WARP_INVERSE_MAP);
+ assertMatEqual(out, dst);
}
public void testWarpPerspectiveMatMatMatSizeIntInt() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_32F);
+ Mat out = new Mat(2, 2, CvType.CV_32F);
+ Size dsize = new Size(2, 2);
+ Mat M = new Mat(3, 3, CvType.CV_32F);
+
+ src.put(0, 0, 2, 4, 1);
+ src.put(1, 0, 6, 4, 3);
+ src.put(2, 0, 0, 2, 2);
+
+ M.put(0, 0, 1, 0, 0);
+ M.put(1, 0, 0, 0, 1);
+
+ out.put(0, 0, 6, 2);
+ out.put(1, 0, 2, 2);
+
+ Imgproc.warpPerspective(src, dst, M, dsize, Imgproc.WARP_INVERSE_MAP, Imgproc.BORDER_REFLECT);
+ OpenCVTestRunner.Log(dst.dump());
+ assertMatEqual(out, dst);
}
public void testWarpPerspectiveMatMatMatSizeIntIntScalar() {
- fail("Not yet implemented");
+ Mat src = new Mat(3, 3, CvType.CV_32F);
+ Mat out = new Mat(2, 2, CvType.CV_32F, new Scalar(2.0));
+ Size dsize = new Size(2, 2);
+ Mat M = new Mat(3, 3, CvType.CV_32F);
+ Scalar sc = new Scalar(1.0);
+
+ src.put(0, 0, 2, 4, 1);
+ src.put(1, 0, 6, 4, 3);
+ src.put(2, 0, 0, 2, 2);
+
+ M.put(0, 0, 1, 0, 0);
+ M.put(1, 0, 0, 0, 1);
+
+ Imgproc.warpPerspective(src, dst, M, dsize, Imgproc.WARP_INVERSE_MAP, Imgproc.BORDER_REFLECT, sc);
+ assertMatEqual(out, dst);
}
public void testWatershed() {
+ Mat image = new Mat(matSize, matSize, CvType.CV_8UC(3), new Scalar(1.0));
+ Mat markers = new Mat(matSize, matSize, CvType.CV_32SC1, new Scalar(1.0));
+
+ Imgproc.watershed(image, markers);
fail("Not yet implemented");
}
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