基于opencv的皮肤检测

修改自opencv的adaptiveskindetector.cpp，去掉了复杂的命令行参数输入，只需要一个网络摄像头即可运行。

原理方面大致看了下，主要还是利用HSV空间的色调信息。

效果还可以，但似乎对于白色，尤其是乳白色的墙壁，壁板等检测效果较差。

这是在这里公布的第一个小东西，尽量一周更新一个，基本都会附带源代码(C++， VS2008)

 

/************************************************************************/
/* adaptive skin detection
modified from opencv's adaptiveskindetector.cpp
opencv2.0 is required
welcome to visit my website: http://yangyangwenjia.appspot.com/
*/
/************************************************************************/
#include <iostream>
#include <cstdio>
#include <cstring>
#include <ctime>
#include <cvaux.h>
#include <highgui.h>

int main(int argc, char** argv )
{
    CvAdaptiveSkinDetector filter(1, CvAdaptiveSkinDetector::MORPHING_METHOD_ERODE_DILATE);

    int camWidth = 640;
    int camHeight = 480;

    IplImage *maskImg = cvCreateImage( cvSize(camWidth, camHeight), IPL_DEPTH_8U, 1);
    IplImage *skinImg = cvCreateImage( cvSize(camWidth, camHeight), IPL_DEPTH_8U, 3);

    cvNamedWindow("skin", CV_WINDOW_AUTOSIZE);
    cvNamedWindow("source", CV_WINDOW_AUTOSIZE);

    CvCapture* capture = cvCaptureFromCAM( 0 );
    IplImage* frame = 0;

    for(;;)
    {
        cvZero(skinImg);

        frame = cvQueryFrame( capture );
        if( !frame )
            break;

        filter.process(frame, maskImg);    // process the frame
        cvCopy(frame,skinImg,maskImg);

        cvShowImage ("skin", skinImg);
        cvShowImage ("source", frame);
        if (cvWaitKey(1) == 27)
            break;
        
    }

    cvReleaseImage(&skinImg);
    cvReleaseImage(&maskImg);
    cvReleaseCapture( &capture );

    cvDestroyWindow("skin");
    cvDestroyWindow("source");

    return 0;
}

 

 

hope you find it useful~