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matlabopencvimage-processingmathematical-morphology

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

enter image description here

Someone performs morphological closing on the image with disk-shaped structuring element and obtain a good result:

enter image description here

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?

Solution

  • 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:

    Closed image

    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.