场景

    使用resize函数缩小图片的尺寸，希望能够减少车辆上不相干的颜色，例如车牌，例如车镜，或者是出租车的车顶，希望屏蔽相关的细节，从而描绘出车辆的轮廓，最终没有达到任何的效果，contour没有实现连通性的闭合


代码

#include


#include

#include


using namespace std;

using namespace cv;


int main(int argc, char* argv[])

{

  int resize_height = 256;

  int resize_width = 256;

  cv::Mat src = cv::imread("D:/20170601092226.png", 0);

  Size srcSize = src.size();

  resize_height = srcSize.height/5;

  resize_width  = srcSize.width/5;

  cv::Mat dst;

  imshow("src", src);

  cv::resize(src, dst, cv::Size(resize_width, resize_height), 0, 0, cv::INTER_LINEAR);

  imshow("dst", dst);

  Mat p_w_picpath; 

  threshold(dst, dst, 100, 255, CV_THRESH_BINARY);

  GaussianBlur(dst,p_w_picpath,Size(3,3),0);  

  Canny(p_w_picpath,p_w_picpath,100,250);  

  imshow("Canny Image",p_w_picpath);  

  vector> contours;  

  vector hierarchy;  

  findContours(p_w_picpath,contours,hierarchy,RETR_EXTERNAL, CHAIN_APPROX_SIMPLE);  

  Mat p_w_picpathContours=Mat::zeros(p_w_picpath.size(),CV_8UC1);  

  for(int i=0;i

  {  

    if (contourArea(contours[i]) < 50)  continue;


    drawContours(p_w_picpathContours,contours,i,Scalar(255),1,8,hierarchy);


    Rect r0= boundingRect(Mat(contours[i]));//boundingRect获取这个外接矩形

    rectangle(dst,r0,Scalar(255,255,0),2);

  }  

  imshow("Contours Image",p_w_picpathContours);  


  cv::waitKey(0);

  return 0;

}