I am using grabCut algorithm using the following code:
cv::Mat img=[self cvMatFromUIImage:image];
cv::Rect rectangle(10,10,300,150);
cv::Mat result; // segmentation (4 possible values)
cv::Mat bgModel,fgModel; // the models (internally used)
// GrabCut segmentation
cv::grabCut(img, // input image
result, // segmentation result
rectangle, // rectangle containing foreground
bgModel,fgModel, // models
3, // number of iterations
cv::GC_INIT_WITH_RECT); // use rectangle
// Get the pixels marked as likely foreground
cv::compare(result,cv::GC_PR_FGD,result,cv::CMP_EQ);
// Generate output image
cv::Mat foreground(img.size(),CV_8UC3,
cv::Scalar(255,255,255));
result=result&1;
img.copyTo(foreground, result);
result);
image=[self UIImageFromCVMat:foreground];
ImgView.image=image;
The code to convert UIImage
to Mat image
looks like this
- (cv::Mat)cvMatFromUIImage:(UIImage *)imge
{
CGColorSpaceRef colorSpace = CGImageGetColorSpace(imge.CGImage);
CGFloat cols = imge.size.width;
CGFloat rows = imge.size.height;
cv::Mat cvMat(rows, cols, CV_8UC4); // 8 bits per component, 4 channels
CGContextRef contextRef = CGBitmapContextCreate(
cvMat.data, // Pointer to data
cols, // Width of bitmap
rows, // Height of bitmap
8, // Bits per component
cvMat.step[0], // Bytes per row
colorSpace, // Colorspace
kCGImageAlphaNoneSkipLast |
kCGBitmapByteOrderDefault);
// Bitmap info flags
CGContextDrawImage(contextRef, CGRectMake(0, 0, cols, rows), imge.CGImage);
CGContextRelease(contextRef);
CGColorSpaceRelease(colorSpace);
return cvMat;
}
But I got the error
OpenCV Error: Bad argument (image must have CV_8UC3 type) in grabCut.
If I change
cv::Mat cvMat(rows, cols, CV_8UC4);
line to cv::Mat cvMat(rows, cols, CV_8UC3);
then I get <Error>: CGBitmapContextCreate: unsupported parameter combination: 8 integer bits/component; 32 bits/pixel; 3-component color space; kCGImageAlphaNoneSkipLast; 342 bytes/row.
.
I am confused here for what to do.
Any help please
The Problem seems to be, that the image you get has an alpha channels, while grabcut expects a rgb image without an alpha channel. So you need to get rid of the additional channel.
You can do this for example with this function:
cv::cvtColor(img , img , CV_RGBA2RGB);
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