The comparison of the CV histogram shows that the graph is more similar

#include "opencv/cv.hpp" #include "opencv2/objdetect/objdetect.hpp" #include "opencv2/highgui/highgui.hpp" #include " Opencv2/imgproc/imgproc.hpp "#include <iostream> #include <stdio.h>using namespace std;using namespace CV; String cascadename = "D:\\opencv-2.4.2\\data\\haarcascades\\haarcascade_frontalface_alt.xml"; IplImage* cutImage (    iplimage* src, cvrect rect) {cvsetimageroi (src, rect);    iplimage* DST = cvcreateimage (Cvsize (Rect.width, Rect.height), src->depth, src->nchannels);    Cvcopy (src,dst,0);    Cvresetimageroi (SRC); return DST;}    iplimage* Detect (mat& img, cascadeclassifier& cascade, double scale) {int i = 0;    Double T = 0;    Vector<rect> faces;    Mat Gray, Smallimg (Cvround (Img.rows/scale), Cvround (Img.cols/scale), CV_8UC1);    Cvtcolor (IMG, Gray, Cv_bgr2gray);    Resize (Gray, Smallimg, Smallimg.size (), 0, 0, inter_linear);    Equalizehist (smallimg, smallimg);    t = (double) cvgettickcount (); Cascade.deTectmultiscale (Smallimg, Faces, 1.3, 2, Cv_haar_scale_image, Size (30, 30));    t = (double) cvgettickcount ()-t;    printf ("Detection time =%g ms\n", t/(Double) cvgettickfrequency () *1000.)); for (Vector<rect>::const_iterator r = Faces.begin (); R! = Faces.end (); r++, i++) {iplimage* temp = Cutim        Age (& (Iplimage (IMG)), Cvrect (R->x, R->y, R->width, r->height));    return temp; } return NULL; Draw histogram with int histogrambins = 256;float histogramrange1[2]={0,255};float *histogramrange[1]={&histogramrange1[0]};    int Comparehist (iplimage* image1, iplimage* image2) {iplimage* srcimage;    Iplimage* Targetimage; if (image1->nchannels! = 1) {srcimage = Cvcreateimage (Cvsize (Image1->width, image1->height), image1->d        Epth, 1);    Cvcvtcolor (Image1, Srcimage, Cv_bgr2gray);    } else {srcimage = Image1; } if (Image2->nchannels! = 1) {targetimage = Cvcreateimage (Cvsize (image2->width, IMAGe2->height), srcimage->depth, 1);    Cvcvtcolor (Image2, Targetimage, Cv_bgr2gray);    } else {targetimage = Image2;    } Cvhistogram *histogram1 = Cvcreatehist (1, &histogrambins, cv_hist_array,histogramrange);    Cvhistogram *histogram2 = cvcreatehist (1, &histogrambins, cv_hist_array,histogramrange);    Cvcalchist (&srcimage, Histogram1);    Cvcalchist (&targetimage, Histogram2);    Cvnormalizehist (Histogram1, 1);    Cvnormalizehist (HISTOGRAM2, 1); Cv_comp_chisqr,cv_comp_bhattacharyya These two can be used to do a histogram comparison, the smaller the value, the more similar to the graph of printf ("CV_COMP_CHISQR:%.4f\n", Cvcomparehist (    HISTOGRAM1, Histogram2, CV_COMP_CHISQR));    printf ("Cv_comp_bhattacharyya:%.4f\n", Cvcomparehist (Histogram1, Histogram2, Cv_comp_bhattacharyya)); Cv_comp_correl, Cv_comp_intersect The comparison of the two histograms, the larger the value, the more similar the graph to printf ("Cv_comp_correl:%.4f\n", Cvcomparehist (Histogram1    , Histogram2, Cv_comp_correl)); printf ("Cv_comp_intersect:%.4f\n", Cvcomparehist (Histogram1, HISTOGRAM2, cv_comp_iNtersect));    Cvreleasehist (&AMP;HISTOGRAM1);    Cvreleasehist (&AMP;HISTOGRAM2);    if (image1->nchannels! = 1) {cvreleaseimage (&srcimage);    } if (Image2->nchannels! = 1) {cvreleaseimage (&targetimage); } return 0;} String srcimage = "D:\\ldh1.jpg";    String targetimage = "d:\\ldh5.jpg"; int main (int argc, char* argv[]) {cascadeclassifier cascade;    Namedwindow ("Image1");    Namedwindow ("Image2");    if (!cascade.load (Cascadename)) {return-1;    } Mat srcimg, targetimg;    Iplimage* FaceImage1;    Iplimage* FaceImage2;    srcimg = Imread (srcimage);    targetimg = Imread (targetimage);    FaceImage1 = Detect (SRCIMG, cascade, 1);    if (FaceImage1 = = NULL) {return-1;    }//cvsaveimage ("D:\\face.jpg", FaceImage1, 0);    FaceImage2 = Detect (TARGETIMG, cascade, 1);    if (FaceImage2 = = NULL) {return-1;    }//cvsaveimage ("D:\\face1.jpg", FaceImage2, 0);    Imshow ("Image1", Mat (FaceImage1)); Imshow ("Image2", Mat (FaceImage2));    Comparehist (FaceImage1, faceImage2);    Cvwaitkey (0);    Cvreleaseimage (&AMP;FACEIMAGE1);    Cvreleaseimage (&faceimage2); return 0;}

　　

The comparison of the CV histogram shows that the graph is more similar