Hi. Is there any image pre-propcessing technique to remove noise from binary images? Please see attached image, I want to remove the objects that are not very straight lines and are connected together, a cxongregation of pixels that look like small circles in the image.
Any hints with MATLAB commands can really help.
Thanks.

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KALYAN ACHARJYA
KALYAN ACHARJYA am 30 Mai 2021
Bearbeitet: KALYAN ACHARJYA am 30 Mai 2021

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Absolutely possible, you can remove the white pixels based on area (Extract objects from binary image by size) and do some AND or OR logical Operation to get the resultant image.

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SS
SS am 30 Mai 2021
Hi, thanks for youre reply. I am getting this error:
Error using bwpropfilt
Expected input number 1, BW, to be one of these types:
logical
Instead its type was uint8.
Error in bwpropfilt>parse_inputs (line 121)
validateattributes(bw, {'logical'}, {'nonsparse', '2d'}, mfilename, 'BW', 1);
Error in bwpropfilt (line 58)
[bw, I, attrib, p, direction, conn] = parse_inputs(args{:});
Error in bwareafilt (line 34)
bw2 = bwpropfilt(bw, 'area', p, direction, conn);
KALYAN ACHARJYA
KALYAN ACHARJYA am 30 Mai 2021
Bearbeitet: KALYAN ACHARJYA am 30 Mai 2021
data=~bwareafilt(input_binary_image,20);
%........................^ Set as per requirement
result=input_binary_image & result;
figure,imshow(result);
Or see regionprops function and do accordingly
How did you get your binary image, bw? By thresholding your original gray scale image? It should be logical then. You can't call it on a gray scale image.
bw = grayImage < 100; % or whatever
bw2 = bwpropfilt(bw, 'area', p, direction, conn);
SS
SS am 30 Mai 2021
Bearbeitet: SS am 30 Mai 2021
The raw binary image is obtained by thresholding and combining few gray images.

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SS
am 30 Mai 2021

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SS
am 30 Mai 2021

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