OpenCV(C++版)輪廓(contour)檢測

findContours和drawContours的例子：來自

#include "stdafx.h"#include <opencv2/opencv.hpp>

using namespace std;using namespace cv;

int main( int argc, char** argv ){ Mat src; // the first command-line parameter must be a filename of the binary (black-n-white) image if( argc != 2 || !(src=imread(argv[1], 0)).data) return -1;

Mat dst = Mat::zeros(src.rows, src.cols, CV_8UC3);

src = src > 50; namedWindow( "Source", 1 ); imshow( "Source", src );

vector<vector<Point> > contours; vector<Vec4i> hierarchy;

findContours( src, contours, hierarchy, CV_RETR_CCOMP , CV_CHAIN_APPROX_NONE );

// iterate through all the top-level contours,draw each connected component with its own random color int idx = 0; for( ; idx >= 0; idx = hierarchy[idx][0] ) { Scalar color( rand()&255, rand()&255, rand()&255 ); drawContours( dst, contours, idx, color, CV_FILLED, 8, hierarchy ); }

namedWindow( "Components", 1 ); imshow( "Components", dst ); waitKey(0);

}

〉按輪廓線，提取圖像中閉合區域：findContours，對應的C介面為cvFindContours。

> 加入canny邊緣檢測，可以得到另一組結果。

結果：

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