直方圖增強(qiáng) 車輛檢測

場景

    嘗試使用直方圖對圖像進(jìn)行增強(qiáng)，然后使用二值化函數(shù)，分割出車輛的輪廓，顯然這個(gè)在應(yīng)對道路和車輛顏色相近的情況下，即使不是相近，依舊沒有達(dá)到任何的效果

代碼

#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("直方圖均衡化圖像增強(qiáng)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;

}