从对象检测颜色并更改其颜色 ios

Question

我正在使用 opencv 边缘和轮廓检测来裁剪一些对象。现在该对象包含两种或多种颜色，所以我必须一一更改颜色，对于 ecample，我想更改 apple 的颜色并将其背景添加为图像，我该怎么做。

我正在尝试 referenve app ，但我对此一无所知。我使用link 进行相同操作，但由于不知道如何遮盖颜色而停留在第三或第四步。另一个link 我使用并编写了如下给出的代码，但找不到我的解决方案。 任何链接或教程，然后请分享。

  IplImage *image=[self CreateIplImageFromUIImage:[UIImage imageNamed:@"mask.png"]];
IplImage *hsvImage = cvCreateImage(cvGetSize(image), IPL_DEPTH_8U, 3);

cvCvtColor(image,hsvImage,CV_RGB2HSV);

NSLog(@"size is %dx%d",cvGetSize(image).width,cvGetSize(image).height);

IplImage *hChannel = cvCreateImage(cvGetSize(image), IPL_DEPTH_8U, 1);
IplImage  *sChannel = cvCreateImage(cvGetSize(image), IPL_DEPTH_8U, 1);
IplImage  *vChannel = cvCreateImage(cvGetSize(image), IPL_DEPTH_8U, 1);

cvSplit(hsvImage, hChannel, sChannel, vChannel, NULL);

IplImage *cvinRangeOut=cvCreateImage(cvGetSize(image), IPL_DEPTH_8U, 1);

cvinRangeOut=[self inRangeImage:hsvImage];

IplImage *dest = cvCreateImage(cvGetSize(image), IPL_DEPTH_8U, 3);

IplImage *temp = cvCreateImage(cvGetSize(image), IPL_DEPTH_8U, 3);
cvMerge(hChannel, sChannel, NULL, NULL, temp);

cvSet(hsvImage, cv::Scalar(255,0,0),cvinRangeOut);// destination hue and sat

cvSplit(hsvImage, hChannel, sChannel, NULL, NULL);
cvMerge(hChannel, sChannel, vChannel, NULL, dest);
cvCvtColor(dest, dest, CV_HSV2BGR);

imageView2.image=[self UIImageFromIplImage:dest];
}

-(IplImage *)inRangeImage:(IplImage *)image
{
    CvScalar source=CvScalar() ;//source color to replace
    IplImage *cvInRange = cvCreateImage(cvGetSize(image), IPL_DEPTH_8U, 1);
    CvScalar from=getScaler(source,false);
    CvScalar to=getScaler(source, true);
    cvInRangeS(image, from, to, cvInRange);
    return cvInRange;
}


CvScalar getScaler(CvScalar seed,Boolean plus){
    if(plus){
        NSLog(@"rgb are  %f, %f %f",seed.val[0],seed.val[1],seed.val[2]);
        NSLog(@"seeds are %f %f %f",seed.val[0]+(seed.val[0]*    (int)cv::threshold),seed.val[1]+(seed.val[1]*(int)cv::threshold),seed.val[2]+(seed.val[2]* (int)cv::threshold));
        return CV_RGB(seed.val[0]+(seed.val[0]*(int)cv::threshold),seed.val[1]+(seed.val[1]*(int)cv::threshold),seed.val[2]+(seed.val[2]* (int)cv::threshold));
    }else{
        NSLog(@"seeds are %f %f %f",seed.val[0]-(seed.val[0]*(int)cv::threshold),seed.val[1]-(seed.val[1]*(int)cv::threshold),seed.val[2]-(seed.val[2]* (int)cv::threshold));
        return CV_RGB(seed.val[0]-(seed.val[0]*(int)cv::threshold),seed.val[1]-(seed.val[1]*(int)cv::threshold),seed.val[2]-(seed.val[2]* (int)cv::threshold));
    }
 }

Answer 1

我是这样做的。希望对某人有所帮助：

imageView.image=[UIImage imageNamed:@"test.png"];
cv::Mat img=[self cvMatFromUIImage:imageView.image];
cv::Mat hsvImage=cvCreateImage(img.size(),8, 3);
cv::cvtColor(img, hsvImage, CV_BGR2HSV);

std::vector<cv::Mat>channels;

cv::split(hsvImage, channels);
cv::Mat hue = channels[0];
cv::Mat dest;
cv::Mat temp=cvCreateImage(img.size(), 8, 3);

cv::inRange(hsvImage, cv::Scalar(90,50,50), cv::Scalar(130,255,255), dest);
cv::merge(channels, temp);
temp.setTo(cv::Scalar(60,255,255),dest);
cv::split(temp, channels);
cv::merge(channels, dest);
cv::cvtColor(dest, hsvImage, CV_HSV2BGR);
imageView.image=[self UIImageFromCVMat:hsvImage];