Implementing imclose(IM, SE) in opencv
I want to detect the background of the following image whose foreground is always lots of black dots:
img.png
Someone performs morphological closing on the image with disk-shaped structuring element and obtain a good result:
Matlab code:
img = imread('c:img.png');
bg = imclose(img, strel('disk', 15));
figure('name', 'bg'), imshow(bg);
So how to implement imclose(IM, SE) in opencv to replace the work in MATLAB or there is another better way to detect such background using opencv method?
You can use cv::getStructuringElement() to create an elliptical structuring element, and cv::morphologyEx() to perform a closing operation.
cv::morphologyEx(img, img, cv::MORPH_CLOSE, cv::getStructuringElement(cv::MORPH_ELLIPSE, cv::Size(21,21)));
I had to modify the structuring element size slightly to produce similar results to your MATLAB example:
Since you seem to be interested in morphological operations with OpenCV, I recommend you give the documentation a read-through to see what all it is capable of.
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