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1.查找出轮廓,为了便于查找可以用canny边缘检测等等;
2.绘制轮廓;
#include <opencv2/opencv.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
using namespace cv;
using namespace std;
#define WINDOW_NAME1 "原始图窗口"
#define WINDOW_NAME2 "轮廓图"
Mat g_srcImage, g_grayImage;
int g_nThresh = 80, 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*)
{
/*利用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());
}
imshow(WINDOW_NAME2, drawing);
}
int main()
{
g_srcImage = imread("dlrb.jpg", 1);
/*转化为灰度图并模糊化降噪*/
cvtColor(g_srcImage, g_grayImage, COLOR_BGR2GRAY);
blur(g_grayImage, g_grayImage, Size(3, 3));
namedWindow(WINDOW_NAME1, WINDOW_AUTOSIZE);
imshow(WINDOW_NAME1, g_srcImage);
createTrackbar("canny阀值", WINDOW_NAME1, &g_nThresh, g_nThresh_max, on_ThreshChange);
on_ThreshChange(0, 0);
waitKey(0);
return 0;
}
处理结果: