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 <string>


#include <opencv2/opencv.hpp>

#include <opencv2/imgproc/imgproc.hpp>


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<vector<Point>> contours;

vector<Vec4i> 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<contours.size();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;

}