Behavior of imclose() function

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Holmes Queen
Holmes Queen 2020-12-14
评论： Image Analyst 2020-12-14
The morphological close operation is a dilation followed by an erosion, using the same structuring element for both operations. Using a logical matrix a as input with a square structure element,
a = [0 0 1 0 0;
1 1 1 1 1;
0 1 0 1 0;
1 0 0 0 1;
0 0 0 0 0];
se = strel('square', 3);
The result I obtained after performing a dilation, imdilate() followed by an erosion, imerode() on a:
a = imdilate(a, se);
a = imerode(a, se);
% output
1 1 1 1 1
1 1 1 1 1
1 1 1 1 1
1 0 0 0 1
1 0 0 0 1
The result I obtained when applying imclose() directly on a:
a = imclose(a, se);
% output
0 0 1 0 0
1 1 1 1 1
1 1 1 1 1
1 0 0 0 1
0 0 0 0 0
Did I miss out something? Why the outputs are different?

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Image Analyst
Image Analyst 2020-12-14
Looks like imclose() assumes that the "missing" pixels outside the image are 0 while imerode() assumes they're 1.
  2 个评论
Holmes Queen
Holmes Queen 2020-12-14
I know MATLAB performs border padding for both dilation and erosion according to Border Padding for Morphology. It seems like the underlying implementation of imclose() is not merely calling imdilate() followed by imerode(). From my observation, maybe imclose() did not perform border padding, or had added some additional steps, and I couldn't reproduce the result. Seems weird to me.
Image Analyst
Image Analyst 2020-12-14
If you edit the source code:
>> edit imclose.m
you'll see this line:
Bp = imerode(imdilate(inputImage,se,packopt,M),se,packopt,M);
but there's a whole bunch of stuff other than that so it's not as simple as a simple dilation follwed by a simple erosion. They usually give reference papers for algorithms so check the documentation or the source code or call them and ask.

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