基于Opencv图像处理的时时头像採集试验

2014 4.20 

      近期想做一个关于图像处理的软件玩玩，可惜也没有什么特别的想法，就当玩玩好了，准备用Opencv开源库实现下简单的功能吧。

    Opencv是一个专业的图像处理库，里面有非常多基础函数能够实现非常多非常多功能，明天開始动工吧，真是兴致来了挡也档不住，思考一晚上！

2014 4.21

    本来想用Vs2010做下，发现配置有点麻烦，还是选择Vc6干吧，选用的库为 Opencv1.0.

配置Visual C++ 6.0

全局设置

菜单Tools->Options->Directories：先设置lib路径，选择Library files，在下方填入路径：

E:OpenCVlib

然后选择include files，在下方填入路径：

E:OpenCVcxcoreinclude

E:OpenCVcvinclude

E:OpenCVcvauxinclude

E:mlinclude

E:OpenCVotherlibshighgui

E:otherlibscvcaminclude

然后选择source files，在下方填入路径：

E:OpenCVcvsrc

E:OpenCVcxcoresrc

E:OpenCVcvauxsrc

E:OpenCVotherlibshighgui

E:OpenCVotherlibscvcamsrcwindows

还有就是配置系统环境变量 E:OpenCVin

然后选择右边的link标签，在Object/library modules附加上

cxcore.lib cv.lib ml.lib cvaux.lib highgui.lib cvcam.lib

关于配置的基本就到这里了，该用的基本都用上了。

 

以下就開始做小demo測试了。

2014 4.28

近期事情有点多，偷懒不想写，还是坚持下吧。

以下做一个人脸检測的demo，基于Win32 application，功能大致实现了，代码网上也有非常多，我来分析下代码吧。

#include "cv.h"    //核心头文件
#include "highgui.h"//图像处理头文件

#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 =
"D:\OpenCV 1.0\data\haarcascades\haarcascade_frontalface_alt.xml";//人脸检測库文件
/*    "haarcascade_profileface.xml";*/

int main( int argc, char** argv )
{
    //cascade_name = "haarcascade_frontalface_alt.xml";
    cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 );
 
    if( !cascade )
    {
        fprintf( stderr, "ERROR: Could not load classifier cascade " );
        return -1;
    }
    storage = cvCreateMemStorage(0);
    cvNamedWindow( "result", 1 ); //创建一个窗体 名称为result
    
    const char* filename = "D:\lena.jpg"; //目标图片
    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 ) //把脸部范围圈出来
{
    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 ", 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 j= 0; j < (objects? objects->total : 0); j++ )
    {
        CvRect* r = (CvRect*)cvGetSeqElem( objects, j );
        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[j%8], 3, 8, 0 );
    }*/

 
    cvShowImage( "result", img );
    cvReleaseImage(&gray);
    cvReleaseImage(&small_img); //记得创建的指针得释放
}

效果大致是这种，把脸部圈出来了。