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:\OpenCV\lib

然后选择include files，在下方填入路径：

E:\OpenCV\cxcore\include

E:\OpenCV\cv\include

E:\OpenCV\cvaux\include

E:\ml\include

E:\OpenCV\otherlibs\highgui

E:\otherlibs\cvcam\include

然后选择source files，在下方填入路径：

E:\OpenCV\cv\src

E:\OpenCV\cxcore\src

E:\OpenCV\cvaux\src

E:\OpenCV\otherlibs\highgui

E:\OpenCV\otherlibs\cvcam\src\windows

还有就是配置系统环境变量 E:\OpenCV\bin

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\n" );

        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\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 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。