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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，我想更改苹果的颜色并将其背景添加为图像，所以我该怎么做。

我正在尝试像referenve app一样，但我对此一无所知。我使用了相同的链接，但由于不知道如何遮盖颜色而停留在第三或第四步。我使用的另一个链接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));
    }
 }
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1 回答 1

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我是这样做的。希望它会帮助某人：

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];
于 2013-06-24T08:06:18.383 回答