CV_EXPORTS_W void matchTemplate( InputArray image, InputArray templ,
OutputArray result, int method );
-struct CV_EXPORTS ConnectedComponentStats
-{
- int lower_x;//!< lower left corner column
- int lower_y;//!< lower left corner row
- int upper_x;//!< upper right corner column
- int upper_y;//!< upper right corner row
- double centroid_x;//!< centroid column
- double centroid_y;//!< centroid row
- uint64 integral_x;//!< sum of all columns where the image was non-zero
- uint64 integral_y;//!< sum of all rows where the image was non-zero
- unsigned int area;//!< count of all non-zero pixels
-};
+enum { CC_STAT_LEFT=0, CC_STAT_TOP=1, CC_STAT_WIDTH=2, CC_STAT_HEIGHT=3, CC_STAT_CX=4, CC_STAT_CY=5, CC_STAT_AREA=6, CC_STAT_INTEGRAL_X=7, CC_STAT_INTEGRAL_Y=8, CC_STAT_MAX = 9};
//! computes the connected components labeled image of boolean image I with 4 or 8 way connectivity - returns N, the total
//number of labels [0, N-1] where 0 represents the background label. L's value type determines the label type, an important
//consideration based on the total number of labels or alternatively the total number of pixels.
-CV_EXPORTS_W int connectedComponents(CV_OUT Mat &L, const Mat &I, int connectivity = 8);
-CV_EXPORTS_W int connectedComponentsWithStats(CV_OUT Mat &L, const Mat &I, CV_OUT std::vector<ConnectedComponentStats> &statsv, int connectivity = 8);
+CV_EXPORTS_W int connectedComponents(InputArray image, OutputArray labels, int connectivity = 8);
+CV_EXPORTS_W int connectedComponentsWithStats(InputArray image, OutputArray labels, OutputArray stats, int connectivity = 8);
//! mode of the contour retrieval algorithm
};
template<typename LabelT>
struct CCStatsOp{
- std::vector<cv::ConnectedComponentStats> &statsv;
- CCStatsOp(std::vector<cv::ConnectedComponentStats> &_statsv): statsv(_statsv){
+ cv::Mat statsv;
+ CCStatsOp(OutputArray _statsv): statsv(_statsv.getMat()){
}
inline
void init(const LabelT nlabels){
- statsv.clear();
- cv::ConnectedComponentStats stats = cv::ConnectedComponentStats();
- stats.lower_x = std::numeric_limits<LabelT>::max();
- stats.lower_y = std::numeric_limits<LabelT>::max();
- stats.upper_x = std::numeric_limits<LabelT>::min();
- stats.upper_y = std::numeric_limits<LabelT>::min();
- stats.centroid_x = 0;
- stats.centroid_y = 0;
- stats.integral_x = 0;
- stats.integral_y = 0;
- stats.area = 0;
- statsv.resize(nlabels, stats);
+ statsv = cv::Mat(nlabels, CC_STAT_MAX, cv::DataType<double>::type);
+ for(int l = 0; l < (int) nlabels; ++l){
+ double *row = &statsv.at<double>(l, 0);
+ row[CC_STAT_LEFT] = std::numeric_limits<LabelT>::max();
+ row[CC_STAT_TOP] = std::numeric_limits<LabelT>::max();
+ row[CC_STAT_WIDTH] = std::numeric_limits<LabelT>::min();
+ row[CC_STAT_HEIGHT] = std::numeric_limits<LabelT>::min();
+ row[CC_STAT_CX] = 0;
+ row[CC_STAT_CY] = 0;
+ row[CC_STAT_AREA] = 0;
+ row[CC_STAT_INTEGRAL_X] = 0;
+ row[CC_STAT_INTEGRAL_Y] = 0;
+ }
}
void operator()(int r, int c, LabelT l){
- ConnectedComponentStats &stats = statsv[l];
- if(c > stats.upper_x){
- stats.upper_x = c;
+ double *row = &statsv.at<double>(l, 0);
+ if(c > row[CC_STAT_WIDTH]){
+ row[CC_STAT_WIDTH] = c;
}else{
- if(c < stats.lower_x){
- stats.lower_x = c;
+ if(c < row[CC_STAT_LEFT]){
+ row[CC_STAT_LEFT] = c;
}
}
- if(r > stats.upper_y){
- stats.upper_y = r;
+ if(r > row[CC_STAT_HEIGHT]){
+ row[CC_STAT_HEIGHT] = r;
}else{
- if(r < stats.lower_y){
- stats.lower_y = r;
+ if(r < row[CC_STAT_TOP]){
+ row[CC_STAT_TOP] = r;
}
}
- stats.integral_x += c;
- stats.integral_y += r;
- stats.area++;
+ row[CC_STAT_INTEGRAL_X] += c;
+ row[CC_STAT_INTEGRAL_Y] += r;
+ row[CC_STAT_AREA]++;
}
void finish(){
- for(size_t l = 0; l < statsv.size(); ++l){
- ConnectedComponentStats &stats = statsv[l];
- stats.lower_x = std::min(stats.lower_x, stats.upper_x);
- stats.lower_y = std::min(stats.lower_y, stats.upper_y);
- stats.centroid_x = stats.integral_x / double(stats.area);
- stats.centroid_y = stats.integral_y / double(stats.area);
+ for(int l = 0; l < statsv.rows; ++l){
+ double *row = &statsv.at<double>(l, 0);
+ row[CC_STAT_LEFT] = std::min(row[CC_STAT_LEFT], row[CC_STAT_WIDTH]);
+ row[CC_STAT_WIDTH] = row[CC_STAT_WIDTH] - row[CC_STAT_LEFT] + 1;
+ row[CC_STAT_TOP] = std::min(row[CC_STAT_TOP], row[CC_STAT_HEIGHT]);
+ row[CC_STAT_HEIGHT] = row[CC_STAT_HEIGHT] - row[CC_STAT_TOP] + 1;
+ row[CC_STAT_CX] = row[CC_STAT_INTEGRAL_X] / double(row[CC_STAT_AREA]);
+ row[CC_STAT_CY] = row[CC_STAT_INTEGRAL_Y] / double(row[CC_STAT_AREA]);
}
}
};
const int G8[4][2] = {{1, -1}, {1, 0}, {1, 1}, {0, -1}};//a, b, c, d neighborhoods
template<typename LabelT, typename PixelT, typename StatsOp = NoOp<LabelT>, int connectivity = 8>
struct LabelingImpl{
- LabelT operator()(Mat &L, const Mat &I, StatsOp &sop){
+ LabelT operator()(InputArray _I, OutputArray _L, StatsOp &sop){
+ cv::Mat I = _I.getMat();
+ cv::Mat L = _L.getMat();
+ CV_Assert(L.rows == I.rows);
+ CV_Assert(L.cols == I.cols);
const int rows = L.rows;
const int cols = L.cols;
size_t Plength = (size_t(rows + 3 - 1)/3) * (size_t(cols + 3 - 1)/3);
//L's type must have an appropriate depth for the number of pixels in I
template<typename StatsOp>
-int connectedComponents_sub1(Mat &L, const Mat &I, int connectivity, StatsOp &sop){
- CV_Assert(L.rows == I.rows);
- CV_Assert(L.cols == I.cols);
+int connectedComponents_sub1(InputArray I, OutputArray L, int connectivity, StatsOp &sop){
CV_Assert(L.channels() == 1 && I.channels() == 1);
CV_Assert(connectivity == 8 || connectivity == 4);
if(lDepth == CV_8U){
if(iDepth == CV_8U || iDepth == CV_8S){
if(connectivity == 4){
- return (int) LabelingImpl<uint8_t, uint8_t, StatsOp, 4>()(L, I, sop);
+ return (int) LabelingImpl<uint8_t, uint8_t, StatsOp, 4>()(I, L, sop);
}else{
- return (int) LabelingImpl<uint8_t, uint8_t, StatsOp, 8>()(L, I, sop);
+ return (int) LabelingImpl<uint8_t, uint8_t, StatsOp, 8>()(I, L, sop);
}
}else{
CV_Assert(false);
}else if(lDepth == CV_16U){
if(iDepth == CV_8U || iDepth == CV_8S){
if(connectivity == 4){
- return (int) LabelingImpl<uint16_t, uint8_t, StatsOp, 4>()(L, I, sop);
+ return (int) LabelingImpl<uint16_t, uint8_t, StatsOp, 4>()(I, L, sop);
}else{
- return (int) LabelingImpl<uint16_t, uint8_t, StatsOp, 8>()(L, I, sop);
+ return (int) LabelingImpl<uint16_t, uint8_t, StatsOp, 8>()(I, L, sop);
}
}else{
CV_Assert(false);
//OpenCV: how should we proceed? .at<T> typechecks in debug mode
if(iDepth == CV_8U || iDepth == CV_8S){
if(connectivity == 4){
- return (int) LabelingImpl<int32_t, uint8_t, StatsOp, 4>()(L, I, sop);
+ return (int) LabelingImpl<int32_t, uint8_t, StatsOp, 4>()(I, L, sop);
}else{
- return (int) LabelingImpl<int32_t, uint8_t, StatsOp, 8>()(L, I, sop);
+ return (int) LabelingImpl<int32_t, uint8_t, StatsOp, 8>()(I, L, sop);
}
}else{
CV_Assert(false);
return -1;
}
-int connectedComponents(Mat &L, const Mat &I, int connectivity){
+int connectedComponents(InputArray I, OutputArray L, int connectivity){
int lDepth = L.depth();
if(lDepth == CV_8U){
- connectedcomponents::NoOp<uint8_t> sop; return connectedComponents_sub1(L, I, connectivity, sop);
+ connectedcomponents::NoOp<uint8_t> sop; return connectedComponents_sub1(I, L, connectivity, sop);
}else if(lDepth == CV_16U){
- connectedcomponents::NoOp<uint16_t> sop; return connectedComponents_sub1(L, I, connectivity, sop);
+ connectedcomponents::NoOp<uint16_t> sop; return connectedComponents_sub1(I, L, connectivity, sop);
}else if(lDepth == CV_32S){
- connectedcomponents::NoOp<uint32_t> sop; return connectedComponents_sub1(L, I, connectivity, sop);
+ connectedcomponents::NoOp<uint32_t> sop; return connectedComponents_sub1(I, L, connectivity, sop);
}else{
CV_Assert(false);
return 0;
}
}
-int connectedComponentsWithStats(Mat &L, const Mat &I, std::vector<ConnectedComponentStats> &statsv, int connectivity){
+int connectedComponentsWithStats(InputArray I, OutputArray L, OutputArray statsv, int connectivity){
int lDepth = L.depth();
if(lDepth == CV_8U){
- connectedcomponents::CCStatsOp<uint8_t> sop(statsv); return connectedComponents_sub1(L, I, connectivity, sop);
+ connectedcomponents::CCStatsOp<uint8_t> sop(statsv); return connectedComponents_sub1(I, L, connectivity, sop);
}else if(lDepth == CV_16U){
- connectedcomponents::CCStatsOp<uint16_t> sop(statsv); return connectedComponents_sub1(L, I, connectivity, sop);
+ connectedcomponents::CCStatsOp<uint16_t> sop(statsv); return connectedComponents_sub1(I, L, connectivity, sop);
}else if(lDepth == CV_32S){
- connectedcomponents::CCStatsOp<uint32_t> sop(statsv); return connectedComponents_sub1(L, I, connectivity, sop);
+ connectedcomponents::CCStatsOp<uint32_t> sop(statsv); return connectedComponents_sub1(I, L, connectivity, sop);
}else{
CV_Assert(false);
return 0;