ios--OpenCV--进行肤色检测

- (void)viewDidLoad{    [super viewDidLoad];        //[self TakeColorFromImageHSV];    UIImage *mImage =  [UIImage imageNamed:@"防伪标签001.jpg"];    self.imageView.image = mImage;    IplImage *srcIpl = [self convertToIplImage:mImage];    IplImage *dscIpl = cvCreateImage(cvGetSize(srcIpl), srcIpl->depth, 1);    [self SkinDetect:srcIpl withParam:dscIpl];    IplImage *dscIplNew = cvCreateImage(cvGetSize(srcIpl),  IPL_DEPTH_8U, 3);    cvCvtColor(dscIpl, dscIplNew, CV_GRAY2BGR);    self.imageView1.image = [self convertToUIImage:dscIplNew];}// 进行肤色检测-(void)SkinDetect:(IplImage*)src withParam:(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    cvSplit(hsv,H,S,V,0);//分为3个通道    /*********************肤色检测部分**************/    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);}