基于OpenCV的图像轮廓提取实现

//--------------------------------------【程序说明】------------------------------------------- //利用OpenCV提取图像中的轮廓并显示 #include "opencv2/highgui/highgui.hpp" #include "opencv2/imgproc/imgproc.hpp" #include <iostream> using namespace cv; using namespace std; Mat g_srcImage; Mat g_grayImage; int g_nThresh = 80; int g_nThresh_max = 255; RNG g_rng(12345); Mat g_cannyMat_output; vector<vector<Point>> g_vContours; vector<Vec4i> g_vHierarchy; void on_ThreshChange(int, void*); //-----------------------------------【main( )函数】-------------------------------------------- int main(int argc, char** argv) { //改变console字体颜色 system("color 1F"); // 加载源图像 g_srcImage = imread("图片1.jpg", 1); if (!g_srcImage.data) { printf("目录下不存在指定的图片~！ \n"); return false; } // 转成灰度并模糊化降噪 cvtColor(g_srcImage, g_grayImage, COLOR_BGR2GRAY); blur(g_grayImage, g_grayImage, Size(3, 3)); // 创建窗口 namedWindow("原图", WINDOW_AUTOSIZE); imshow("原图", g_srcImage); //创建滚动条并初始化 createTrackbar("canny阈值", "原图", &g_nThresh, g_nThresh_max, on_ThreshChange); on_ThreshChange(0, 0); waitKey(0); return(0); } //-----------------------------------【on_ThreshChange( )函数】------------------------------ // 描述：回调函数 //---------------------------------------------------------------------------------------------- void on_ThreshChange(int, void*) { // 用Canny算子检测边缘 Canny(g_grayImage, g_cannyMat_output, g_nThresh, g_nThresh * 2, 3); // 寻找轮廓 findContours(g_cannyMat_output, g_vContours, g_vHierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(0, 0)); // 绘出轮廓 Mat drawing = Mat::zeros(g_cannyMat_output.size(), CV_8UC3); for (int i = 0; i< g_vContours.size(); i++) { Scalar color = Scalar(g_rng.uniform(0, 255), g_rng.uniform(0, 255), g_rng.uniform(0, 255));//任意值 drawContours(drawing, g_vContours, i, color, 2, 8, g_vHierarchy, 0, Point()); } // 显示效果图 imshow("轮廓提取效果图", drawing); }