问题遇到的现象和发生背景
#include <opencv2/opencv.hpp>
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgproc/imgproc_c.h"
#include <iostream>
#include <stdio.h>
using namespace std;
using namespace cv;
String cascadeName = "D:/program/opencv/sources/samples/winrt_universal/VideoCaptureXAML/video_capture_xaml/video_capture_xaml.Windows/Assets/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, CASCADE_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 = cutImage(&(cvIplImage(img)), cvRect(r->x, r->y, r->width, r->height));
return temp;
}
return NULL;
}
//画直方图用
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->depth, 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这两种都可以用来做直方图的比较,值越小,说明图形越相似
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这两种直方图的比较,值越大,说明图形越相似
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(&Histogram1);
cvReleaseHist(&Histogram2);
if (image1->nChannels != 1) {
cvReleaseImage(&srcImage);
}
if (image2->nChannels != 1) {
cvReleaseImage(&targetImage);
}
return 0;
}
String srcImage = "D:/cv-text/sxc1.jpg";
String targetImage = "D:/cv-text/sxc2.jpeg";
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);
waitKey(0);
cvReleaseImage(&faceImage1);
cvReleaseImage(&faceImage2);
return 0;
}
```c++
imshow("image1", Mat(faceImage1));
imshow("image2", Mat(faceImage2));
``` 问题相关代码,请勿粘贴截图