具体应用


OpenCV中提供了几个与轮廓相关的函数:

findContours():从二值图像中寻找轮廓

drawContours():绘制轮廓

matchShape():使用Hu矩进行轮廓匹配

下面是一个使用这些函数的小例子,测试图片为:

test3_c.jpg如下:

OpenCV应用(3) 简单轮廓匹配的小例子_#include


test4_c.jpg如下:

OpenCV应用(3) 简单轮廓匹配的小例子_scala_02



#include <opencv2/opencv.hpp> #include <iostream>  using namespace cv; using namespace std;  int main() {     string path1 = "images/test3_c.jpg";     string path2 = "images/test4_c.jpg";      Mat image1 = imread(path1, IMREAD_GRAYSCALE);     Mat image2 = imread(path2, IMREAD_GRAYSCALE);     image1 = 255 - image1; // 反色     image2 = 255 - image2;      imshow("1", image1); // 显示反色后的图像     imshow("2", image2);      Mat image1_copy = imread(path1);     Mat image2_copy = imread(path2);      // CV_RETR_EXTERNAL 检测外轮廓     vector<vector<Point>> contours1, contours2;     findContours(image1, contours1, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);     findContours(image2, contours2, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);      drawContours(image1_copy, contours1, -1, Scalar(0, 255, 0), 2, 8);     drawContours(image2_copy, contours2, -1, Scalar(0, 255, 0), 2, 8);      imshow("轮廓1", image1_copy);     imshow("轮廓2", image2_copy);      //返回轮廓之间的匹配度, rate越小越相似       double rate = matchShapes(contours1[0], contours2[0], CV_CONTOURS_MATCH_I1, 0);     cout << rate << endl;      waitKey(0);     return 0; }



OpenCV应用(3) 简单轮廓匹配的小例子_ios_03