Behavior of imclose() function
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Holmes Queen
am 14 Dez. 2020
Kommentiert: Image Analyst
am 14 Dez. 2020
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
am 14 Dez. 2020
Looks like imclose() assumes that the "missing" pixels outside the image are 0 while imerode() assumes they're 1.
2 Kommentare
Image Analyst
am 14 Dez. 2020
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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