如何检测在iOS 5中的源图像面部皮肤颜色？(How to detect the skin colo

我需要的颜色脸部皮肤...我如何发现皮肤颜色？

现在我得到的RGB像素值的肤色......不过我面对我是相匹配的色彩坐标，以匹配特定的颜色范围内的皮肤问题...但仍面对一些地区不属于我的色彩范围那么它是不是颜色区域..

除了面部区域的其他可能落入该区域，该区域还包括彩色...

关于我的问题的任何想法...

提前致谢....

我的代码：

    -(void)colorImageBySliderValue:(float)value WithImage:(UIImage*)needToModified
{

    CGContextRef ctx;

    CGImageRef imageRef = needToModified.CGImage;
    NSUInteger width = CGImageGetWidth(imageRef);
    NSUInteger height = CGImageGetHeight(imageRef);
    CGColorSpaceRef colorSpace = CGColorSpaceCreateDeviceRGB();
    unsigned char *rawData = malloc(self.sourceImage.image.size.height * self.sourceImage.image.size.width * 10);
    NSUInteger bytesPerPixel = 4;
    NSUInteger bytesPerRow = bytesPerPixel * self.sourceImage.image.size.width;
    NSUInteger bitsPerComponent = 8;
    CGContextRef context1 = CGBitmapContextCreate(rawData, self.sourceImage.image.size.width, self.sourceImage.image.size.height,
                                                  bitsPerComponent, bytesPerRow, colorSpace,
                                                  kCGImageAlphaPremultipliedLast | kCGBitmapByteOrder32Big);
    CGColorSpaceRelease(colorSpace);

    CGContextDrawImage(context1, CGRectMake(0, 0, self.sourceImage.image.size.width, self.sourceImage.image.size.height), imageRef);

    NSLog(@"%d::%d",width,height);


    for(int ii = 0 ; ii < 768 * 1024 ; ii+=4)
    {

        int  R = rawData[ii];
        int G = rawData[ii+1];
        int B = rawData[ii+2];

        //        NSLog(@"%d   %d   %d", R, G, B);
             if( ( (R>60)&&(R<237) ) || ((G>10)&&(G<120))||((B>4) && (B<120)))
//        if( ( (R>100)&&(R<186) ) || ((G>56)&&(G<130))||((B>30) && (B<120)))
//        if( ( (R>188)&&(R<228) ) || ((G>123)&&(G<163))||((B>85) && (B<125)))
            //        if( ( (R>95)&&(R<220) ) || ((G>40)&&(G<210))||((B>20) && (B<170)))
        {


            rawData[ii+1]=R;//13; 
            rawData[ii+2]=G;//43; 
            rawData[ii+3]=value;//63
            //            NSLog(@"entered");
        }
    }


    ctx = CGBitmapContextCreate(rawData,
                                CGImageGetWidth( imageRef ),
                                CGImageGetHeight( imageRef ),
                                8,
                                CGImageGetBytesPerRow( imageRef ),
                                CGImageGetColorSpace( imageRef ),
                                kCGImageAlphaPremultipliedLast ); 

    imageRef = CGBitmapContextCreateImage(ctx);
    UIImage* rawImage = [UIImage imageWithCGImage:imageRef]; 
    UIImageView *ty=[[UIImageView alloc]initWithFrame:CGRectMake(100, 200, 400, 400)];
    ty.image=rawImage;
    [self.view addSubview:ty];
    CGContextRelease(context1);
    CGContextRelease(ctx);  
    free(rawData);   
}

问候，

SpyNet的

您可以创建两个图像之一是原始图像和另一种是单独的改性图像像素和修复...并通过添加原始图像第一和单独的改性像素比原先覆盖的图像....

  for (int index=0; index<length; index+=4) 
        {
            if (data2[index]==data1[index])
            {
                data1[index]=data2[index];
                data1[index+1]=data2[index+1];//aRed+value;//aRed;//13; 
                data1[index+2]=data2[index+2];//aGreen;//aGreen;//43; 
                data1[index+3]=data2[index+3];
            }