#include "cv.h"
#include "highgui.h"
#include <stdio.h>static CvHaarClassifierCascade* cascade = 0;static CvMemStorage* storage = 0;void detect_and_draw( IplImage* image );const char* cascade_name ="haarcascade_frontalface_alt.xml"; //人脸检测要用到的分类器int main(){ cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 ); //加载人脸检测所用的(harr)分类器 if( !cascade ) { fprintf( stderr, "ERROR: Could not load classifier cascade\n" ); return -1; } storage = cvCreateMemStorage(0); //动态存储结构，用来存储人脸在图像中的位置 cvNamedWindow( "result", 1 ); const char* filename = "lena.jpg"; //待检测图像(包含绝对路径) IplImage* image = cvLoadImage( filename, 1 ); //加载图像 detect_and_draw( image ); //对加载的图像进行检测 cvWaitKey(0); cvReleaseImage( &image ); cvDestroyWindow("result"); return 0;}void detect_and_draw( IplImage* img ){ static CvScalar colors[] = { {{0,0,255}}, {{0,128,255}}, {{0,255,255}}, {{0,255,0}}, {{255,128,0}}, {{255,255,0}}, {{255,0,0}}, {{255,0,255}} }; double scale = 3; IplImage* gray = cvCreateImage( cvSize(img->width,img->height), 8, 1 ); IplImage* small_img = cvCreateImage( cvSize( cvRound (img->width/scale),cvRound (img->height/scale)), 8, 1 ); cvCvtColor( img, gray, CV_BGR2GRAY ); //转变为灰度图 cvNamedWindow( "result1", 1 ); cvShowImage( "result1", gray ); cvResize( gray, small_img, CV_INTER_LINEAR ); //调整大小cvNamedWindow( "result2", 1 );cvShowImage( "result2", small_img ); cvEqualizeHist( small_img, small_img ); //用来使灰度图象直方图均衡化cvNamedWindow( "result3", 1 );cvShowImage( "result3", small_img ); cvClearMemStorage( storage ); if( cascade ) { /*函数cvHaarDetectObjects检测图像中的目标，由OpenCV提供。*/ CvSeq* faces = cvHaarDetectObjects( small_img, cascade, storage, 1.1, 2, 0 , cvSize(30, 30) );printf("人脸数目：%d",faces->total); for( int i = 0; i < (faces ? faces->total : 0); i++ ) { CvRect* r = (CvRect*)cvGetSeqElem( faces, i ); CvPoint center; int radius; center.x = cvRound((r->x + r->width*0.5)*scale); center.y = cvRound((r->y + r->height*0.5)*scale); radius = cvRound((r->width + r->height)*0.25*scale); cvCircle( img, center, radius, colors[i%8], 3, 8, 0 ); } } cvShowImage( "result", img ); cvReleaseImage( &gray ); cvReleaseImage( &small_img );
