本文整理汇总了C++中cv::findContours方法的典型用法代码示例。如果您正苦于以下问题：C++ cv::findContours方法的具体用法？C++ cv::findContours怎么用？C++ cv::findContours使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类cv的用法示例。
在下文中一共展示了cv::findContours方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: generalized_hough_transform
Point GHT::generalized_hough_transform(Mat image, vector<vector<Point> > contours, Point refPoint) {
Point max;
max.x = 0;
max.y = 0;
cvtColor(image, image, CV_RGB2GRAY);
blur(image, image, Size(3, 3));
Canny(image, image, 30, 70);
//imshow("INPUT", image);
/*
Mat ref = Mat::zeros( image.size(), CV_32FC3 );
drawContours(ref, contours, 0, Scalar(255), CV_FILLED);
imshow("REF", ref);
//*/
if (_imageYsize == 0){
set_image_sizes(image.clone());
_data = new float*[_imageYsize];
for (int i = 0; i < _imageYsize; i++){
_data[i] = new float[_imageXsize];
}
for (int i = 0; i < _imageYsize; i++){
for (int j = 0; j < _imageXsize; j++){
_data[i][j] = 0.0f;
}
}
}
int voteX, voteY, imageX, imageY;
findContours(image, _inputContours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE); // for contour finding
for (int i = 0; (unsigned)i < _inputContours.size(); i++){
for (int j = 0; (unsigned)j < _inputContours.at(i).size(); j++){
imageX = _inputContours.at(i).at(j).x;
imageY = _inputContours.at(i).at(j).y;
for (int c = 0; (unsigned) c < contours.at(0).size(); c++){
voteX = refPoint.x - contours.at(0).at(c).x;
voteY = refPoint.y - contours.at(0).at(c).y;
if (
(imageX + voteX) >= 0
&&
(imageX + voteX) < _imageXsize
&&
(imageY + voteY) >= 0
&&
(imageY + voteY) < _imageYsize) {
if (_data[imageY + voteY][imageX + voteX] < 1.0f){
_data[imageY + voteY][imageX + voteX] = 1.0f;
} else {
_data[imageY + voteY][imageX + voteX] += 1.0f;
if ((refPoint.x - imageX + voteX)*(refPoint.x - imageX + voteX) < 400){
_data[imageY + voteY][imageX + voteX] += 2.0f;
}
if ((refPoint.y - imageY + voteY)*(refPoint.y - imageY + voteY) < 400){
_data[imageY + voteY][imageX + voteX] += 2.0f;
}
}
}
}
}
}
float maxVal = -1;
for (int i = 0; i < _imageYsize; i++){
for (int j = 0; j < _imageXsize; j++){
if (_data[i][j] > 5.0f){
if (maxVal < _data[i][j]){
maxVal = _data[i][j];
max.y = i;
max.x = j;
}
}
_data[i][j] = 0.0f;
}
}
return max;
}