场景

尝试使用直方图对图像进行增强，然后使用二值化函数，分割出车辆的轮廓，显然这个在应对道路和车辆颜色相近的情况下，即使不是相近，依旧没有达到任何的效果

代码


#include "opencv2/highgui/highgui.hpp"

#include "opencv2/imgproc/imgproc.hpp"

#include <iostream>

using namespace cv;

using namespace std;


Mat srcImg;


void on_trackbar(int pos)

{

Mat contourImg ;

srcImg.copyTo(contourImg);

Mat graysrcImg = Mat::zeros(srcImg.rows, srcImg.cols, CV_8UC3);

threshold(srcImg, graysrcImg, pos, 255, 3);

vector<vector<Point> > contours;

vector<Vec4i> hierarchy;

Mat dst = Mat::zeros(srcImg.rows, srcImg.cols, CV_8UC3);

findContours(graysrcImg, contours,hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE);

if( !contours.empty() && !hierarchy.empty() )

{

int idx = 0;

for( ; idx >= 0; idx = hierarchy[idx][0] )

{

if (contourArea(contours[idx]) < 500000) continue;


Scalar color( (rand()&255), (rand()&255), (rand()&255) );

drawContours( contourImg, contours, idx, Scalar(255, 0, 0), CV_FILLED, 8, hierarchy );

}

}

imshow( "FindContour", contourImg );

}


int main()

{

const char* srcImgFile = "D:/20170601092226.png";

srcImg = imread(srcImgFile);

if (srcImg.empty()) return -1;


Mat p_w_picpathRGB[3];

split(srcImg, p_w_picpathRGB);

for (int i = 0; i < 3; i++)

{

equalizeHist(p_w_picpathRGB[i], p_w_picpathRGB[i]);

}

merge(p_w_picpathRGB, 3, srcImg);

imshow("直方图均衡化图像增强效果", srcImg);

cvtColor( srcImg, srcImg, CV_RGB2GRAY );

namedWindow("srcImg", 1);

imshow("srcImg", srcImg);


int nThreshold = 0;

namedWindow("FindContour", 1);

cvCreateTrackbar("bar", "FindContour", &nThreshold, 254, on_trackbar);


on_trackbar(1);

waitKey(0);

return 0;

}