OpenCV 实践程序14——图片中人脸检测

最新推荐文章于 2024-09-05 15:26:17 发布

鼬花园

最新推荐文章于 2024-09-05 15:26:17 发布

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分类专栏： OpenCV 程序实践

本文链接：https://blog.youkuaiyun.com/jjff46/article/details/38984409

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此博客展示了使用OpenCV进行人体和面部检测的代码。包含头文件引入、级联分类器加载、图像读取与处理等步骤。通过cvHaarDetectObjects函数检测目标，最后在图像上绘制矩形和圆形框标记检测结果，还进行了直方图均衡等操作。

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#include "cv.h" 
#include "highgui.h"


#include <stdio.h> 
#include <stdlib.h> 
#include <string.h> 
#include <assert.h> 
#include <math.h> 
#include <float.h> 
#include <limits.h> 
#include <time.h> 
#include <ctype.h>


#ifdef _EiC 
#define WIN32 
#endif


static CvMemStorage* storage = 0; 
static CvHaarClassifierCascade* cascade = 0;


void detect_and_draw( IplImage* image );


const char* cascade_name = 
"haarcascade_frontalface_alt.xml"; 
/*    "haarcascade_profileface.xml";*/


int main( int argc, char** argv ) 
{ 
    cascade_name = "haarcascade_fullbody.xml"; //haarcascade_fullbody, haarcascade_frontalface_alt2


    cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 ); 
  
    if( !cascade ) 
    { 
        fprintf( stderr, "ERROR: Could not load classifier cascade\n" ); 
        return -1; 
    } 
    storage = cvCreateMemStorage(0); 
    cvNamedWindow( "result", 1 ); 
     
    const char* filename = "Lena.jpg"; 
    IplImage* image = cvLoadImage( filename, 1 );


    if( image ) 
    { 
        detect_and_draw( image ); 
        cvWaitKey(0); 
        cvReleaseImage( &image );   
    }


    cvDestroyWindow("result"); 
  
    return 0; 
}




void detect_and_draw(IplImage* img ) 
{ 
    double scale=1.2; 
    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}} 
    };//Just some pretty colors to draw with


    //Image Preparation 
    // 
    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); 
    cvResize(gray, small_img, CV_INTER_LINEAR);


    cvEqualizeHist(small_img,small_img); //直方图均衡


    //Detect objects if any 
    // 
    cvClearMemStorage(storage); 
    double t = (double)cvGetTickCount(); 
    CvSeq* objects = cvHaarDetectObjects(small_img, 
                                                                        cascade, 
                                                                        storage, 
                                                                        1.1, 
                                                                        2, 
                                                                        0/*CV_HAAR_DO_CANNY_PRUNING*/, 
                                                                        cvSize(30,30));


    t = (double)cvGetTickCount() - t; 
    printf( "detection time = %gms\n", t/((double)cvGetTickFrequency()*1000.) );


    //Loop through found objects and draw boxes around them 
    for(int i=0;i<(objects? objects->total:0);++i) 
    { 
        CvRect* r=(CvRect*)cvGetSeqElem(objects,i); 
        cvRectangle(img, cvPoint(r->x*scale,r->y*scale), cvPoint((r->x+r->width)*scale,(r->y+r->height)*scale), colors[i%8]); 
    } 
    for( int i = 0; i < (objects? objects->total : 0); i++ ) 
    { 
        CvRect* r = (CvRect*)cvGetSeqElem( objects, 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); 
}