--- /dev/null
+/*
+This tutorial demonstrates how to correct the skewness in a text.
+The program takes as input a skewed source image and shows non skewed text.
+
+*/
+
+#include <opencv2/core.hpp>
+#include <opencv2/imgcodecs.hpp>
+#include <opencv2/highgui.hpp>
+#include <opencv2/imgproc.hpp>
+
+#include <iostream>
+#include <iomanip>
+#include <string>
+
+using namespace cv;
+using namespace std;
+
+
+int main( int argc, char** argv )
+{
+ CommandLineParser parser(argc, argv, "{@input | imageTextR.png | input image}");
+
+ // Load image from the disk
+ Mat image = imread( samples::findFile( parser.get<String>("@input") ), IMREAD_COLOR);
+ if (image.empty())
+ {
+ cout << "Cannot load the image " + parser.get<String>("@input") << endl;
+ return -1;
+ }
+
+ Mat gray;
+ cvtColor(image, gray, COLOR_BGR2GRAY);
+
+ //Threshold the image, setting all foreground pixels to 255 and all background pixels to 0
+ Mat thresh;
+ threshold(gray, thresh, 0, 255, THRESH_BINARY_INV | THRESH_OTSU);
+
+ // Applying erode filter to remove random noise
+ int erosion_size = 1;
+ Mat element = getStructuringElement( MORPH_RECT, Size(2*erosion_size+1, 2*erosion_size+1), Point(erosion_size, erosion_size) );
+ erode(thresh, thresh, element);
+
+ cv::Mat coords;
+ findNonZero(thresh, coords);
+
+ RotatedRect box = minAreaRect(coords);
+ float angle = box.angle;
+
+ // The cv::minAreaRect function returns values in the range [-90, 0)
+ // if the angle is less than -45 we need to add 90 to it
+ if (angle < -45.0f)
+ {
+ angle = (90.0f + angle);
+ }
+
+ //Obtaining the rotation matrix
+ Point2f center((image.cols) / 2.0f, (image.rows) / 2.0f);
+ Mat M = getRotationMatrix2D(center, angle, 1.0f);
+ Mat rotated;
+
+ // Rotating the image by required angle
+ stringstream angle_to_str;
+ angle_to_str << fixed << setprecision(2) << angle;
+ warpAffine(image, rotated, M, image.size(), INTER_CUBIC, BORDER_REPLICATE);
+ putText(rotated, "Angle " + angle_to_str.str() + " degrees", Point(10, 30), FONT_HERSHEY_SIMPLEX, 0.7, Scalar(0, 0, 255), 2);
+ cout << "[INFO] angle: " << angle_to_str.str() << endl;
+
+ //Show the image
+ imshow("Input", image);
+ imshow("Rotated", rotated);
+ waitKey(0);
+ return 0;
+}
--- /dev/null
+'''
+Text skewness correction
+This tutorial demonstrates how to correct the skewness in a text.
+The program takes as input a skewed source image and shows non skewed text.
+
+Usage:
+ python text_skewness_correction.py --image "Image path"
+'''
+
+import numpy as np
+import cv2 as cv
+import sys
+import argparse
+
+
+def main():
+ parser = argparse.ArgumentParser()
+ parser.add_argument("-i", "--image", required=True, help="path to input image file")
+ args = vars(parser.parse_args())
+
+ # load the image from disk
+ image = cv.imread(cv.samples.findFile(args["image"]))
+ if image is None:
+ print("can't read image " + args["image"])
+ sys.exit(-1)
+ gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
+
+ # threshold the image, setting all foreground pixels to
+ # 255 and all background pixels to 0
+ thresh = cv.threshold(gray, 0, 255, cv.THRESH_BINARY_INV | cv.THRESH_OTSU)[1]
+
+ # Applying erode filter to remove random noise
+ erosion_size = 1
+ element = cv.getStructuringElement(cv.MORPH_RECT, (2 * erosion_size + 1, 2 * erosion_size + 1), (erosion_size, erosion_size) )
+ thresh = cv.erode(thresh, element)
+
+ coords = cv.findNonZero(thresh)
+ angle = cv.minAreaRect(coords)[-1]
+ # the `cv.minAreaRect` function returns values in the
+ # range [-90, 0) if the angle is less than -45 we need to add 90 to it
+ if angle < -45:
+ angle = (90 + angle)
+
+ (h, w) = image.shape[:2]
+ center = (w // 2, h // 2)
+ M = cv.getRotationMatrix2D(center, angle, 1.0)
+ rotated = cv.warpAffine(image, M, (w, h), flags=cv.INTER_CUBIC, borderMode=cv.BORDER_REPLICATE)
+ cv.putText(rotated, "Angle: {:.2f} degrees".format(angle), (10, 30), cv.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
+
+ # show the output image
+ print("[INFO] angle: {:.2f}".format(angle))
+ cv.imshow("Input", image)
+ cv.imshow("Rotated", rotated)
+ cv.waitKey(0)
+
+
+if __name__ == "__main__":
+ main()