Candy算子 分割 车辆

场景

鉴于仅仅使用二值化函数对图像进行处理，无法对车辆和道路进行完全的轮廓分割，因此通过Candy算子在阀值在19的情况下，一定程度上，对车辆的轮廓进行了分割，达到了不错的效果

代码
//图像的Canny边缘检测
//By MoreWindows (http://blog.csdn.net/MoreWindows)
#include <opencv2/opencv.hpp>
using namespace std;
IplImage *g_pSrcImage, *g_pCannyImg;
const char *pstrWindowsCannyTitle = "边缘检测图(http://blog.csdn.net/MoreWindows)";
//cvCreateTrackbar的回调函数
void on_trackbar(int threshold)
{
//canny边缘检测
cvCanny(g_pSrcImage, g_pCannyImg, threshold, threshold * 3, 3);
cvShowImage(pstrWindowsCannyTitle, g_pCannyImg);
}
int main()
{
const char *pstrImageName = "001.jpg";
const char *pstrWindowsSrcTitle = "原图(http://blog.csdn.net/MoreWindows)";
const char *pstrWindowsToolBar = "Threshold";

//从文件中载入图像的灰度图CV_LOAD_IMAGE_GRAYSCALE - 灰度图
g_pSrcImage = cvLoadImage("D:/20170601092226.png", CV_LOAD_IMAGE_GRAYSCALE);
g_pCannyImg = cvCreateImage(cvGetSize(g_pSrcImage), IPL_DEPTH_8U, 1);

//创建窗口
cvNamedWindow(pstrWindowsSrcTitle, CV_WINDOW_AUTOSIZE);
cvNamedWindow(pstrWindowsCannyTitle, CV_WINDOW_AUTOSIZE);

//创建滑动条
int nThresholdEdge = 1;
cvCreateTrackbar(pstrWindowsToolBar, pstrWindowsCannyTitle, &nThresholdEdge, 100, on_trackbar);

//在指定窗口中显示图像
cvShowImage(pstrWindowsSrcTitle, g_pSrcImage);
on_trackbar(1);

//等待按键事件
cvWaitKey();

cvDestroyWindow(pstrWindowsSrcTitle);
cvDestroyWindow(pstrWindowsCannyTitle);
cvReleaseImage(&g_pSrcImage);
cvReleaseImage(&g_pCannyImg);
return 0;
}

参考 http://blog.csdn.net/morewindows/article/details/8239625