基于opencv的皮肤检测

时间:2022-12-13 19:52:56

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)

 

基于opencv的皮肤检测基于opencv的皮肤检测皮肤检测
   
   
   
/* ********************************************************************** */
/* adaptive skin detection
modified from opencv's adaptiveskindetector.cpp
opencv2.0 is required
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*/
/* ********************************************************************** */
#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~