OpenCV中直方圖對比

對于兩幅圖片先求得其直方圖然后在對兩個直方圖進行比較。而兩幅直方圖相似度的標準為$d(H1,H2)$,而對于該值的計算有四種方式:
相關性比較
卡方比較
十字交叉性
巴氏距離
而對于OpenCV來說已經提供了相應的API:

compareHist(輸入直方圖1，輸入直方圖2，選擇使用的計算方式 );

具體的步驟:
a、將載入的圖像從RGB轉化為HSV
b、計算直方圖并歸一化處理
c、直方圖比較
d、得到比較結果

#include "opencv2/opencv.hpp"using namespace cv; using namespace std;int main() {Mat src1,src2,temp;temp = imread("/home/dynamicw/Project/C++_Project/opencvtest/src/lesson01/source/src1.png");src2 = imread("/home/dynamicw/Project/C++_Project/opencvtest/src/lesson01/source/src2.png");src1 = Mat(temp.rows,temp.cols/2,temp.type());for(int row = 0;row < temp.rows;row++){for(int col = 0;col < temp.cols/2;col++){src1.at<Vec3b>(row,col) = temp.at<Vec3b>(row,col);}}imshow("src1",src1);imshow("src2",src2);Mat src1_hsv,src2_hsv;cvtColor(src1,src1_hsv,CV_BGR2HSV);cvtColor(src2,src2_hsv,CV_BGR2HSV);imshow("src1_hsv",src1_hsv);imshow("src2_hsv",src2_hsv);int h_bins = 50,s_bins = 60;int histsize[] = {h_bins,s_bins};float h_range[] = {0,256};float s_range[] = {0,180};const float* ranges[] = {h_range,s_range};int channels[] = {0,1};Mat hist_src1,hist_src2;calcHist(&src1_hsv,1,channels,Mat(),hist_src1,2,histsize,ranges,true,false);normalize(hist_src1,hist_src1,0,1,NORM_MINMAX,-1,Mat());calcHist(&src2_hsv,1,channels,Mat(),hist_src2,2,histsize,ranges,true,false);normalize(hist_src2,hist_src2,0,1,NORM_MINMAX,-1,Mat());cout << "CV_COMP_CORREL" << CV_COMP_CORREL << endl; cout << "CV_COMP_CHISQR" << CV_COMP_CHISQR << endl;cout << "CV_COMP_INTERSECT" << CV_COMP_INTERSECT << endl;cout << "CV_COMP_BHATTACHARYYA" << CV_COMP_BHATTACHARYYA << endl;for(int i = 0;i < 4;i++){int mode = i;double value = compareHist(hist_src2,hist_src2,mode);cout << "the " << i << " mode is:" << value << endl;}waitKey(0);return 0; }

總結

以上是生活随笔為你收集整理的OpenCV中直方图对比的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。