652 lines
22 KiB
C++
652 lines
22 KiB
C++
#include "imgproc.h"
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double ArcLength(PointVector curve, bool is_closed) {
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return cv::arcLength(*curve, is_closed);
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}
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PointVector ApproxPolyDP(PointVector curve, double epsilon, bool closed) {
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PointVector approxCurvePts = new std::vector<cv::Point>;
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cv::approxPolyDP(*curve, *approxCurvePts, epsilon, closed);
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return approxCurvePts;
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}
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void CvtColor(Mat src, Mat dst, int code) {
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cv::cvtColor(*src, *dst, code);
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}
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void EqualizeHist(Mat src, Mat dst) {
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cv::equalizeHist(*src, *dst);
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}
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void CalcHist(struct Mats mats, IntVector chans, Mat mask, Mat hist, IntVector sz, FloatVector rng, bool acc) {
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std::vector<cv::Mat> images;
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for (int i = 0; i < mats.length; ++i) {
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images.push_back(*mats.mats[i]);
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}
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std::vector<int> channels;
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for (int i = 0, *v = chans.val; i < chans.length; ++v, ++i) {
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channels.push_back(*v);
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}
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std::vector<int> histSize;
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for (int i = 0, *v = sz.val; i < sz.length; ++v, ++i) {
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histSize.push_back(*v);
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}
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std::vector<float> ranges;
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float* f;
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int i;
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for (i = 0, f = rng.val; i < rng.length; ++f, ++i) {
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ranges.push_back(*f);
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}
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cv::calcHist(images, channels, *mask, *hist, histSize, ranges, acc);
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}
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void CalcBackProject(struct Mats mats, IntVector chans, Mat hist, Mat backProject, FloatVector rng, bool uniform){
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std::vector<cv::Mat> images;
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for (int i = 0; i < mats.length; ++i) {
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images.push_back(*mats.mats[i]);
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}
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std::vector<int> channels;
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for (int i = 0, *v = chans.val; i < chans.length; ++v, ++i) {
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channels.push_back(*v);
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}
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std::vector<float> ranges;
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float* f;
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int i;
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for (i = 0, f = rng.val; i < rng.length; ++f, ++i) {
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ranges.push_back(*f);
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}
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cv::calcBackProject(images, channels, *hist, *backProject, ranges, uniform);
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}
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double CompareHist(Mat hist1, Mat hist2, int method) {
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return cv::compareHist(*hist1, *hist2, method);
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}
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struct RotatedRect FitEllipse(PointVector pts)
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{
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cv::RotatedRect bRect = cv::fitEllipse(*pts);
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Rect r = {bRect.boundingRect().x, bRect.boundingRect().y, bRect.boundingRect().width, bRect.boundingRect().height};
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Point centrpt = {int(lroundf(bRect.center.x)), int(lroundf(bRect.center.y))};
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Size szsz = {int(lroundf(bRect.size.width)), int(lroundf(bRect.size.height))};
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cv::Point2f* pts4 = new cv::Point2f[4];
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bRect.points(pts4);
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Point* rpts = new Point[4];
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for (size_t j = 0; j < 4; j++) {
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Point pt = {int(lroundf(pts4[j].x)), int(lroundf(pts4[j].y))};
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rpts[j] = pt;
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}
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delete[] pts4;
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RotatedRect rotRect = {Points{rpts, 4}, r, centrpt, szsz, bRect.angle};
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return rotRect;
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}
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void ConvexHull(PointVector points, Mat hull, bool clockwise, bool returnPoints) {
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cv::convexHull(*points, *hull, clockwise, returnPoints);
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}
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void ConvexityDefects(PointVector points, Mat hull, Mat result) {
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cv::convexityDefects(*points, *hull, *result);
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}
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void BilateralFilter(Mat src, Mat dst, int d, double sc, double ss) {
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cv::bilateralFilter(*src, *dst, d, sc, ss);
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}
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void Blur(Mat src, Mat dst, Size ps) {
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cv::Size sz(ps.width, ps.height);
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cv::blur(*src, *dst, sz);
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}
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void BoxFilter(Mat src, Mat dst, int ddepth, Size ps) {
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cv::Size sz(ps.width, ps.height);
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cv::boxFilter(*src, *dst, ddepth, sz);
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}
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void SqBoxFilter(Mat src, Mat dst, int ddepth, Size ps) {
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cv::Size sz(ps.width, ps.height);
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cv::sqrBoxFilter(*src, *dst, ddepth, sz);
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}
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void Dilate(Mat src, Mat dst, Mat kernel) {
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cv::dilate(*src, *dst, *kernel);
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}
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void DilateWithParams(Mat src, Mat dst, Mat kernel, Point anchor, int iterations, int borderType, Scalar borderValue) {
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cv::Point pt1(anchor.x, anchor.y);
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cv::Scalar c = cv::Scalar(borderValue.val1, borderValue.val2, borderValue.val3, borderValue.val4);
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cv::dilate(*src, *dst, *kernel, pt1, iterations, borderType, c);
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}
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void DistanceTransform(Mat src, Mat dst, Mat labels, int distanceType, int maskSize, int labelType) {
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cv::distanceTransform(*src, *dst, *labels, distanceType, maskSize, labelType);
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}
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void Erode(Mat src, Mat dst, Mat kernel) {
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cv::erode(*src, *dst, *kernel);
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}
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void ErodeWithParams(Mat src, Mat dst, Mat kernel, Point anchor, int iterations, int borderType) {
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cv::Point pt1(anchor.x, anchor.y);
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cv::erode(*src, *dst, *kernel, pt1, iterations, borderType, cv::morphologyDefaultBorderValue());
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}
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void MatchTemplate(Mat image, Mat templ, Mat result, int method, Mat mask) {
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cv::matchTemplate(*image, *templ, *result, method, *mask);
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}
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struct Moment Moments(Mat src, bool binaryImage) {
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cv::Moments m = cv::moments(*src, binaryImage);
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Moment mom = {m.m00, m.m10, m.m01, m.m20, m.m11, m.m02, m.m30, m.m21, m.m12, m.m03,
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m.mu20, m.mu11, m.mu02, m.mu30, m.mu21, m.mu12, m.mu03,
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m.nu20, m.nu11, m.nu02, m.nu30, m.nu21, m.nu12, m.nu03
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};
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return mom;
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}
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void PyrDown(Mat src, Mat dst, Size size, int borderType) {
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cv::Size cvSize(size.width, size.height);
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cv::pyrDown(*src, *dst, cvSize, borderType);
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}
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void PyrUp(Mat src, Mat dst, Size size, int borderType) {
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cv::Size cvSize(size.width, size.height);
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cv::pyrUp(*src, *dst, cvSize, borderType);
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}
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struct Rect BoundingRect(PointVector pts) {
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cv::Rect bRect = cv::boundingRect(*pts);
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Rect r = {bRect.x, bRect.y, bRect.width, bRect.height};
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return r;
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}
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void BoxPoints(RotatedRect rect, Mat boxPts){
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cv::Point2f centerPt(rect.center.x , rect.center.y);
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cv::Size2f rSize(rect.size.width, rect.size.height);
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cv::RotatedRect rotatedRectangle(centerPt, rSize, rect.angle);
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cv::boxPoints(rotatedRectangle, *boxPts);
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}
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double ContourArea(PointVector pts) {
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return cv::contourArea(*pts);
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}
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struct RotatedRect MinAreaRect(PointVector pts){
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cv::RotatedRect cvrect = cv::minAreaRect(*pts);
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Point* rpts = new Point[4];
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cv::Point2f* pts4 = new cv::Point2f[4];
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cvrect.points(pts4);
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for (size_t j = 0; j < 4; j++) {
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Point pt = {int(lroundf(pts4[j].x)), int(lroundf(pts4[j].y))};
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rpts[j] = pt;
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}
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delete[] pts4;
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cv::Rect bRect = cvrect.boundingRect();
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Rect r = {bRect.x, bRect.y, bRect.width, bRect.height};
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Point centrpt = {int(lroundf(cvrect.center.x)), int(lroundf(cvrect.center.y))};
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Size szsz = {int(lroundf(cvrect.size.width)), int(lroundf(cvrect.size.height))};
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RotatedRect retrect = {(Contour){rpts, 4}, r, centrpt, szsz, cvrect.angle};
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return retrect;
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}
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void MinEnclosingCircle(PointVector pts, Point2f* center, float* radius){
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cv::Point2f center2f;
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cv::minEnclosingCircle(*pts, center2f, *radius);
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center->x = center2f.x;
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center->y = center2f.y;
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}
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PointsVector FindContours(Mat src, Mat hierarchy, int mode, int method) {
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PointsVector contours = new std::vector<std::vector<cv::Point> >;
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cv::findContours(*src, *contours, *hierarchy, mode, method);
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return contours;
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}
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double PointPolygonTest(PointVector pts, Point pt, bool measureDist) {
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cv::Point2f pt1(pt.x, pt.y);
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return cv::pointPolygonTest(*pts, pt1, measureDist);
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}
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int ConnectedComponents(Mat src, Mat labels, int connectivity, int ltype, int ccltype){
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return cv::connectedComponents(*src, *labels, connectivity, ltype, ccltype);
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}
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int ConnectedComponentsWithStats(Mat src, Mat labels, Mat stats, Mat centroids,
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int connectivity, int ltype, int ccltype){
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return cv::connectedComponentsWithStats(*src, *labels, *stats, *centroids, connectivity, ltype, ccltype);
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}
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Mat GetStructuringElement(int shape, Size ksize) {
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cv::Size sz(ksize.width, ksize.height);
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return new cv::Mat(cv::getStructuringElement(shape, sz));
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}
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Scalar MorphologyDefaultBorderValue(){
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cv::Scalar cs = cv::morphologyDefaultBorderValue();
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return (Scalar){cs[0],cs[1],cs[2],cs[3]};
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}
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void MorphologyEx(Mat src, Mat dst, int op, Mat kernel) {
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cv::morphologyEx(*src, *dst, op, *kernel);
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}
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void MorphologyExWithParams(Mat src, Mat dst, int op, Mat kernel, Point pt, int iterations, int borderType) {
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cv::Point pt1(pt.x, pt.y);
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cv::morphologyEx(*src, *dst, op, *kernel, pt1, iterations, borderType);
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}
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void GaussianBlur(Mat src, Mat dst, Size ps, double sX, double sY, int bt) {
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cv::Size sz(ps.width, ps.height);
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cv::GaussianBlur(*src, *dst, sz, sX, sY, bt);
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}
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Mat GetGaussianKernel(int ksize, double sigma, int ktype){
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return new cv::Mat(cv::getGaussianKernel(ksize, sigma, ktype));
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}
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void Laplacian(Mat src, Mat dst, int dDepth, int kSize, double scale, double delta,
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int borderType) {
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cv::Laplacian(*src, *dst, dDepth, kSize, scale, delta, borderType);
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}
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void Scharr(Mat src, Mat dst, int dDepth, int dx, int dy, double scale, double delta,
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int borderType) {
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cv::Scharr(*src, *dst, dDepth, dx, dy, scale, delta, borderType);
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}
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void MedianBlur(Mat src, Mat dst, int ksize) {
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cv::medianBlur(*src, *dst, ksize);
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}
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void Canny(Mat src, Mat edges, double t1, double t2) {
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cv::Canny(*src, *edges, t1, t2);
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}
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void CornerSubPix(Mat img, Mat corners, Size winSize, Size zeroZone, TermCriteria criteria) {
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cv::Size wsz(winSize.width, winSize.height);
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cv::Size zsz(zeroZone.width, zeroZone.height);
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cv::cornerSubPix(*img, *corners, wsz, zsz, *criteria);
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}
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void GoodFeaturesToTrack(Mat img, Mat corners, int maxCorners, double quality, double minDist) {
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cv::goodFeaturesToTrack(*img, *corners, maxCorners, quality, minDist);
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}
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void GrabCut(Mat img, Mat mask, Rect r, Mat bgdModel, Mat fgdModel, int iterCount, int mode) {
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cv::Rect cvRect = cv::Rect(r.x, r.y, r.width, r.height);
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cv::grabCut(*img, *mask, cvRect, *bgdModel, *fgdModel, iterCount, mode);
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}
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void HoughCircles(Mat src, Mat circles, int method, double dp, double minDist) {
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cv::HoughCircles(*src, *circles, method, dp, minDist);
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}
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void HoughCirclesWithParams(Mat src, Mat circles, int method, double dp, double minDist,
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double param1, double param2, int minRadius, int maxRadius) {
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cv::HoughCircles(*src, *circles, method, dp, minDist, param1, param2, minRadius, maxRadius);
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}
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void HoughLines(Mat src, Mat lines, double rho, double theta, int threshold) {
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cv::HoughLines(*src, *lines, rho, theta, threshold);
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}
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void HoughLinesP(Mat src, Mat lines, double rho, double theta, int threshold) {
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cv::HoughLinesP(*src, *lines, rho, theta, threshold);
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}
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void HoughLinesPWithParams(Mat src, Mat lines, double rho, double theta, int threshold, double minLineLength, double maxLineGap) {
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cv::HoughLinesP(*src, *lines, rho, theta, threshold, minLineLength, maxLineGap);
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}
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void HoughLinesPointSet(Mat points, Mat lines, int linesMax, int threshold,
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double minRho, double maxRho, double rhoStep,
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double minTheta, double maxTheta, double thetaStep) {
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cv::HoughLinesPointSet(*points, *lines, linesMax, threshold,
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minRho, maxRho, rhoStep, minTheta, maxTheta, thetaStep );
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}
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void Integral(Mat src, Mat sum, Mat sqsum, Mat tilted) {
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cv::integral(*src, *sum, *sqsum, *tilted);
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}
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double Threshold(Mat src, Mat dst, double thresh, double maxvalue, int typ) {
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return cv::threshold(*src, *dst, thresh, maxvalue, typ);
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}
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void AdaptiveThreshold(Mat src, Mat dst, double maxValue, int adaptiveMethod, int thresholdType,
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int blockSize, double c) {
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cv::adaptiveThreshold(*src, *dst, maxValue, adaptiveMethod, thresholdType, blockSize, c);
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}
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void ArrowedLine(Mat img, Point pt1, Point pt2, Scalar color, int thickness) {
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cv::Point p1(pt1.x, pt1.y);
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cv::Point p2(pt2.x, pt2.y);
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cv::Scalar c = cv::Scalar(color.val1, color.val2, color.val3, color.val4);
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cv::arrowedLine(*img, p1, p2, c, thickness);
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}
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bool ClipLine(Size imgSize, Point pt1, Point pt2) {
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cv::Size sz(imgSize.width, imgSize.height);
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cv::Point p1(pt1.x, pt1.y);
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cv::Point p2(pt2.x, pt2.y);
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return cv::clipLine(sz, p1, p2);
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}
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void Circle(Mat img, Point center, int radius, Scalar color, int thickness) {
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cv::Point p1(center.x, center.y);
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cv::Scalar c = cv::Scalar(color.val1, color.val2, color.val3, color.val4);
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cv::circle(*img, p1, radius, c, thickness);
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}
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void CircleWithParams(Mat img, Point center, int radius, Scalar color, int thickness, int lineType, int shift) {
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cv::Point p1(center.x, center.y);
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cv::Scalar c = cv::Scalar(color.val1, color.val2, color.val3, color.val4);
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cv::circle(*img, p1, radius, c, thickness, lineType, shift);
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}
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void Ellipse(Mat img, Point center, Point axes, double angle, double
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startAngle, double endAngle, Scalar color, int thickness) {
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cv::Point p1(center.x, center.y);
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cv::Point p2(axes.x, axes.y);
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cv::Scalar c = cv::Scalar(color.val1, color.val2, color.val3, color.val4);
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cv::ellipse(*img, p1, p2, angle, startAngle, endAngle, c, thickness);
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}
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void EllipseWithParams(Mat img, Point center, Point axes, double angle, double
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startAngle, double endAngle, Scalar color, int thickness, int lineType, int shift) {
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cv::Point p1(center.x, center.y);
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cv::Point p2(axes.x, axes.y);
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cv::Scalar c = cv::Scalar(color.val1, color.val2, color.val3, color.val4);
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cv::ellipse(*img, p1, p2, angle, startAngle, endAngle, c, thickness, lineType, shift);
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}
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void Line(Mat img, Point pt1, Point pt2, Scalar color, int thickness) {
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cv::Point p1(pt1.x, pt1.y);
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cv::Point p2(pt2.x, pt2.y);
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cv::Scalar c = cv::Scalar(color.val1, color.val2, color.val3, color.val4);
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cv::line(*img, p1, p2, c, thickness);
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}
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void Rectangle(Mat img, Rect r, Scalar color, int thickness) {
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cv::Scalar c = cv::Scalar(color.val1, color.val2, color.val3, color.val4);
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cv::rectangle(
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*img,
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cv::Point(r.x, r.y),
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cv::Point(r.x + r.width, r.y + r.height),
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c,
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thickness,
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cv::LINE_AA
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);
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}
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void RectangleWithParams(Mat img, Rect r, Scalar color, int thickness, int lineType, int shift) {
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cv::Scalar c = cv::Scalar(color.val1, color.val2, color.val3, color.val4);
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cv::rectangle(
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*img,
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cv::Point(r.x, r.y),
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cv::Point(r.x + r.width, r.y + r.height),
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c,
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thickness,
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lineType,
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shift
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);
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}
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void FillPoly(Mat img, PointsVector pts, Scalar color) {
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cv::Scalar c = cv::Scalar(color.val1, color.val2, color.val3, color.val4);
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cv::fillPoly(*img, *pts, c);
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}
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void FillPolyWithParams(Mat img, PointsVector pts, Scalar color, int lineType, int shift, Point offset) {
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cv::Scalar c = cv::Scalar(color.val1, color.val2, color.val3, color.val4);
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cv::fillPoly(*img, *pts, c, lineType, shift, cv::Point(offset.x, offset.y));
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}
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void Polylines(Mat img, PointsVector pts, bool isClosed, Scalar color,int thickness) {
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cv::Scalar c = cv::Scalar(color.val1, color.val2, color.val3, color.val4);
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cv::polylines(*img, *pts, isClosed, c, thickness);
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}
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struct Size GetTextSize(const char* text, int fontFace, double fontScale, int thickness) {
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return GetTextSizeWithBaseline(text, fontFace, fontScale, thickness, NULL);
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}
|
|
|
|
struct Size GetTextSizeWithBaseline(const char* text, int fontFace, double fontScale, int thickness, int* baesline) {
|
|
cv::Size sz = cv::getTextSize(text, fontFace, fontScale, thickness, baesline);
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|
Size size = {sz.width, sz.height};
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|
return size;
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|
}
|
|
|
|
void PutText(Mat img, const char* text, Point org, int fontFace, double fontScale,
|
|
Scalar color, int thickness) {
|
|
cv::Point pt(org.x, org.y);
|
|
cv::Scalar c = cv::Scalar(color.val1, color.val2, color.val3, color.val4);
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|
cv::putText(*img, text, pt, fontFace, fontScale, c, thickness);
|
|
}
|
|
|
|
void PutTextWithParams(Mat img, const char* text, Point org, int fontFace, double fontScale,
|
|
Scalar color, int thickness, int lineType, bool bottomLeftOrigin) {
|
|
cv::Point pt(org.x, org.y);
|
|
cv::Scalar c = cv::Scalar(color.val1, color.val2, color.val3, color.val4);
|
|
cv::putText(*img, text, pt, fontFace, fontScale, c, thickness, lineType, bottomLeftOrigin);
|
|
}
|
|
|
|
void Resize(Mat src, Mat dst, Size dsize, double fx, double fy, int interp) {
|
|
cv::Size sz(dsize.width, dsize.height);
|
|
cv::resize(*src, *dst, sz, fx, fy, interp);
|
|
}
|
|
|
|
void GetRectSubPix(Mat src, Size patchSize, Point center, Mat dst) {
|
|
cv::Size sz(patchSize.width, patchSize.height);
|
|
cv::Point pt(center.x, center.y);
|
|
cv::getRectSubPix(*src, sz, pt, *dst);
|
|
}
|
|
|
|
Mat GetRotationMatrix2D(Point center, double angle, double scale) {
|
|
cv::Point pt(center.x, center.y);
|
|
return new cv::Mat(cv::getRotationMatrix2D(pt, angle, scale));
|
|
}
|
|
|
|
void WarpAffine(Mat src, Mat dst, Mat m, Size dsize) {
|
|
cv::Size sz(dsize.width, dsize.height);
|
|
cv::warpAffine(*src, *dst, *m, sz);
|
|
}
|
|
|
|
void WarpAffineWithParams(Mat src, Mat dst, Mat rot_mat, Size dsize, int flags, int borderMode,
|
|
Scalar borderValue) {
|
|
cv::Size sz(dsize.width, dsize.height);
|
|
cv::Scalar c = cv::Scalar(borderValue.val1, borderValue.val2, borderValue.val3, borderValue.val4);
|
|
cv::warpAffine(*src, *dst, *rot_mat, sz, flags, borderMode, c);
|
|
}
|
|
|
|
void WarpPerspective(Mat src, Mat dst, Mat m, Size dsize) {
|
|
cv::Size sz(dsize.width, dsize.height);
|
|
cv::warpPerspective(*src, *dst, *m, sz);
|
|
}
|
|
|
|
void Watershed(Mat image, Mat markers) {
|
|
cv::watershed(*image, *markers);
|
|
}
|
|
|
|
void ApplyColorMap(Mat src, Mat dst, int colormap) {
|
|
cv::applyColorMap(*src, *dst, colormap);
|
|
}
|
|
|
|
void ApplyCustomColorMap(Mat src, Mat dst, Mat colormap) {
|
|
cv::applyColorMap(*src, *dst, *colormap);
|
|
}
|
|
|
|
Mat GetPerspectiveTransform(PointVector src, PointVector dst) {
|
|
std::vector<cv::Point2f> src_pts;
|
|
copyPointVectorToPoint2fVector(src, &src_pts);
|
|
|
|
std::vector<cv::Point2f> dst_pts;
|
|
copyPointVectorToPoint2fVector(dst, &dst_pts);
|
|
|
|
return new cv::Mat(cv::getPerspectiveTransform(src_pts, dst_pts));
|
|
}
|
|
|
|
Mat GetPerspectiveTransform2f(Point2fVector src, Point2fVector dst) {
|
|
return new cv::Mat(cv::getPerspectiveTransform(*src, *dst));
|
|
}
|
|
|
|
Mat GetAffineTransform(PointVector src, PointVector dst) {
|
|
std::vector<cv::Point2f> src_pts;
|
|
copyPointVectorToPoint2fVector(src, &src_pts);
|
|
|
|
std::vector<cv::Point2f> dst_pts;
|
|
copyPointVectorToPoint2fVector(dst, &dst_pts);
|
|
|
|
return new cv::Mat(cv::getAffineTransform(src_pts, dst_pts));
|
|
}
|
|
|
|
Mat GetAffineTransform2f(Point2fVector src, Point2fVector dst) {
|
|
return new cv::Mat(cv::getAffineTransform(*src, *dst));
|
|
}
|
|
|
|
Mat FindHomography(Mat src, Mat dst, int method, double ransacReprojThreshold, Mat mask, const int maxIters, const double confidence) {
|
|
return new cv::Mat(cv::findHomography(*src, *dst, method, ransacReprojThreshold, *mask, maxIters, confidence));
|
|
}
|
|
|
|
void DrawContours(Mat src, PointsVector contours, int contourIdx, Scalar color, int thickness) {
|
|
cv::Scalar c = cv::Scalar(color.val1, color.val2, color.val3, color.val4);
|
|
cv::drawContours(*src, *contours, contourIdx, c, thickness);
|
|
}
|
|
|
|
void Sobel(Mat src, Mat dst, int ddepth, int dx, int dy, int ksize, double scale, double delta, int borderType) {
|
|
cv::Sobel(*src, *dst, ddepth, dx, dy, ksize, scale, delta, borderType);
|
|
}
|
|
|
|
void SpatialGradient(Mat src, Mat dx, Mat dy, int ksize, int borderType) {
|
|
cv::spatialGradient(*src, *dx, *dy, ksize, borderType);
|
|
}
|
|
|
|
|
|
void Remap(Mat src, Mat dst, Mat map1, Mat map2, int interpolation, int borderMode, Scalar borderValue) {
|
|
cv::Scalar c = cv::Scalar(borderValue.val1, borderValue.val2, borderValue.val3, borderValue.val4);
|
|
cv::remap(*src, *dst, *map1, *map2, interpolation, borderMode, c);
|
|
}
|
|
|
|
void Filter2D(Mat src, Mat dst, int ddepth, Mat kernel, Point anchor, double delta, int borderType) {
|
|
cv::Point anchorPt(anchor.x, anchor.y);
|
|
cv::filter2D(*src, *dst, ddepth, *kernel, anchorPt, delta, borderType);
|
|
}
|
|
|
|
void SepFilter2D(Mat src, Mat dst, int ddepth, Mat kernelX, Mat kernelY, Point anchor, double delta, int borderType) {
|
|
cv::Point anchorPt(anchor.x, anchor.y);
|
|
cv::sepFilter2D(*src, *dst, ddepth, *kernelX, *kernelY, anchorPt, delta, borderType);
|
|
}
|
|
|
|
void LogPolar(Mat src, Mat dst, Point center, double m, int flags) {
|
|
cv::Point2f centerPt(center.x, center.y);
|
|
cv::logPolar(*src, *dst, centerPt, m, flags);
|
|
}
|
|
|
|
void FitLine(PointVector pts, Mat line, int distType, double param, double reps, double aeps) {
|
|
cv::fitLine(*pts, *line, distType, param, reps, aeps);
|
|
}
|
|
|
|
void LinearPolar(Mat src, Mat dst, Point center, double maxRadius, int flags) {
|
|
cv::Point2f centerPt(center.x, center.y);
|
|
cv::linearPolar(*src, *dst, centerPt, maxRadius, flags);
|
|
}
|
|
|
|
CLAHE CLAHE_Create() {
|
|
return new cv::Ptr<cv::CLAHE>(cv::createCLAHE());
|
|
}
|
|
|
|
CLAHE CLAHE_CreateWithParams(double clipLimit, Size tileGridSize) {
|
|
cv::Size sz(tileGridSize.width, tileGridSize.height);
|
|
return new cv::Ptr<cv::CLAHE>(cv::createCLAHE(clipLimit, sz));
|
|
}
|
|
|
|
void CLAHE_Close(CLAHE c) {
|
|
delete c;
|
|
}
|
|
|
|
void CLAHE_Apply(CLAHE c, Mat src, Mat dst) {
|
|
(*c)->apply(*src, *dst);
|
|
}
|
|
|
|
void InvertAffineTransform(Mat src, Mat dst) {
|
|
cv::invertAffineTransform(*src, *dst);
|
|
}
|
|
|
|
Point2f PhaseCorrelate(Mat src1, Mat src2, Mat window, double* response) {
|
|
cv::Point2d result = cv::phaseCorrelate(*src1, *src2, *window, response);
|
|
|
|
Point2f result2f = {
|
|
.x = float(result.x),
|
|
.y = float(result.y),
|
|
};
|
|
return result2f;
|
|
}
|
|
|
|
void Mat_Accumulate(Mat src, Mat dst) {
|
|
cv::accumulate(*src, *dst);
|
|
}
|
|
void Mat_AccumulateWithMask(Mat src, Mat dst, Mat mask) {
|
|
cv::accumulate(*src, *dst, *mask);
|
|
}
|
|
|
|
void Mat_AccumulateSquare(Mat src, Mat dst) {
|
|
cv::accumulateSquare(*src, *dst);
|
|
}
|
|
|
|
void Mat_AccumulateSquareWithMask(Mat src, Mat dst, Mat mask) {
|
|
cv::accumulateSquare(*src, *dst, *mask);
|
|
}
|
|
|
|
void Mat_AccumulateProduct(Mat src1, Mat src2, Mat dst) {
|
|
cv::accumulateProduct(*src1, *src2, *dst);
|
|
}
|
|
|
|
void Mat_AccumulateProductWithMask(Mat src1, Mat src2, Mat dst, Mat mask) {
|
|
cv::accumulateProduct(*src1, *src2, *dst, *mask);
|
|
}
|
|
|
|
void Mat_AccumulatedWeighted(Mat src, Mat dst, double alpha) {
|
|
cv::accumulateWeighted(*src, *dst, alpha);
|
|
}
|
|
|
|
void Mat_AccumulatedWeightedWithMask(Mat src, Mat dst, double alpha, Mat mask) {
|
|
cv::accumulateWeighted(*src, *dst, alpha, *mask);
|
|
}
|