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how i can detect the roudness object in binary image and remove other objects from image using regionprops

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alaa shamasneh
alaa shamasneh on 16 Feb 2018
Commented: alaa shamasneh on 17 Feb 2018
I already segmented my image using LOG so I have a binary image. I want to keep round objects in it and remove others. After that I want to know the centroid and area for the round object.
Please I attached the image if you can help to write a code on it

Answers (1)

Image Analyst
Image Analyst on 16 Feb 2018
Edited: Image Analyst on 16 Feb 2018
All your objects are lines, but one has a rounded shape because the ends are close together. What I'd do is to compute the areas and endpoints and see if the endpoints are farther away or closer than some ratio, like 0.2 or 0.5 or whatever. Something like (untested, off the top of my head):
keepers = [];
props = regionprops(binaryImage, 'area', 'PixelList');
for k = 1 : length(props)
thisArea = props(k).Area; % Get length of line.
x1 = props(k).PixelList(1,1); % Get endpoints.
y1 = props(k).PixelList(1,2);
x2 = props(k).PixelList(2,1);
y2 = props(k).PixelList(2,2);
separationDistance = sqrt((x2-x1)^2+(y2-y1)^2); % Compute distance.
if separationDistance < 0.5 * thisArea
% Ends are close together. Keep it.
keepers = [keepers, k];
end
end
% Get new binary image.
binaryImage = ismember(binaryImage, keepers);
Adjust the 0.5 to be smaller if you want the ends to be closer together.
Then call bwconvhull() to "fill it in" and call regionprops() again, this time asking for centroid.
binaryImage = bwconvhull(binaryImage, 'objects');
props = regionprops(binaryImage, 'Centroid', 'Area');
allAreas = [props.Area];
allCentroids = [props.Centroid];
xCentroids = allCentroids (1:2:end);
yCentroids = allCentroids (2:2:end);
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