Opencv基础代码:根据颜色进行目标检测

在Opencv中，有很多运动算法是根据相邻几帧图片来进行运动目标检测的，但这样有可能效率不高或者是效果不够好，所以就有了根据颜色来进行目标匹配来进行运动目标检测的。

#include <cv.h>
#include <highgui.h>

// 进行肤色检测
void SkinDetect(IplImage* src,IplImage* dst)
{
// 创建图像头
IplImage* hsv = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 3);//用于存图像的一个中间变量，是用来分通道用的，分成hsv通道
IplImage* tmpH1 = cvCreateImage( cvGetSize(src), IPL_DEPTH_8U, 1);//通道的中间变量，用于肤色检测的中间变量
IplImage* tmpS1 = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 1);
IplImage* tmpH2 = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 1);
IplImage* tmpS3 = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 1);
IplImage* tmpH3 = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 1);
IplImage* tmpS2 = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 1);
IplImage* H = cvCreateImage( cvGetSize(src), IPL_DEPTH_8U, 1);
IplImage* S = cvCreateImage( cvGetSize(src), IPL_DEPTH_8U, 1);
IplImage* V = cvCreateImage( cvGetSize(src), IPL_DEPTH_8U, 1);
IplImage* src_tmp1=cvCreateImage(cvGetSize(src),8,3);

// 高斯模糊
cvSmooth(src,src_tmp1,CV_GAUSSIAN,3,3); //高斯模糊

// hue色度，saturation饱和度，value纯度
cvCvtColor(src_tmp1, hsv, CV_BGR2HSV );//颜色转换
cvCvtPixToPlane(hsv,H,S,V,0);//分为3个通道

cvInRangeS(H,cvScalar(0.0,0.0,0,0),cvScalar(20.0,0.0,0,0),tmpH1);
cvInRangeS(S,cvScalar(75.0,0.0,0,0),cvScalar(200.0,0.0,0,0),tmpS1);
cvAnd(tmpH1,tmpS1,tmpH1,0);

// Red Hue with Low Saturation
// Hue 0 to 26 degree and Sat 20 to 90
cvInRangeS(H,cvScalar(0.0,0.0,0,0),cvScalar(13.0,0.0,0,0),tmpH2);
cvInRangeS(S,cvScalar(20.0,0.0,0,0),cvScalar(90.0,0.0,0,0),tmpS2);
cvAnd(tmpH2,tmpS2,tmpH2,0);

// Red Hue to Pink with Low Saturation
// Hue 340 to 360 degree and Sat 15 to 90
cvInRangeS(H,cvScalar(170.0,0.0,0,0),cvScalar(180.0,0.0,0,0),tmpH3);
cvInRangeS(S,cvScalar(15.0,0.0,0,0),cvScalar(90.,0.0,0,0),tmpS3);
cvAnd(tmpH3,tmpS3,tmpH3,0);

// Combine the Hue and Sat detections
cvOr(tmpH3,tmpH2,tmpH2,0);
cvOr(tmpH1,tmpH2,tmpH1,0);

cvCopy(tmpH1,dst);

cvReleaseImage(&hsv);
cvReleaseImage(&tmpH1);
cvReleaseImage(&tmpS1);
cvReleaseImage(&tmpH2);
cvReleaseImage(&tmpS2);
cvReleaseImage(&tmpH3);
cvReleaseImage(&tmpS3);
cvReleaseImage(&H);
cvReleaseImage(&S);
cvReleaseImage(&V);
cvReleaseImage(&src_tmp1);
}

int main(int argc, char* argv[])
{

IplImage *src=cvLoadImage("hand.jpg", CV_LOAD_IMAGE_COLOR);

cvNamedWindow("src", CV_WINDOW_AUTOSIZE);
cvShowImage("src", src);

cvNamedWindow("flip", CV_WINDOW_AUTOSIZE);
IplImage *dsc = cvCreateImage(cvGetSize(src), src->depth, 1);

// 以x轴翻转
SkinDetect(src, dsc);
// cvFlip(src, dsc, 1);
cvShowImage("flip", dsc);
cvWaitKey(0);
cvDestroyAllWindows();
cvReleaseImage(&src);
printf("Hello World!\n");
return 0;
}

转载自:http://blog.sina.com.cn/s/blog_6111ce890100q0pm.html