I have a binary map, BW, and the Centroids for each region in BW. If I randomize the Centroids, how can I create another binary map with the same region shapes as BW but whose centers corresponds to the randomized Centroids?
MATLAB: Rearrange Binary regions based on centroids
binarycentroidImage Processing Toolboxrandomizeregionprops
Related Solutions
Compute the circularities and determine the circularity that is the dividing line between a circle and non-circle
labeledImage = bwlabel(binaryImage);props = regionprops(labeledImage, 'Area', 'Perimeter');allAreas = [props.Area];allPerimeters = [props.Perimeter];circularities = allPerimeters .^ 2 ./ (4 * pi * allAreas);acceptableCircs = circularities < 4; % Or whatever works
indexes = find(acceptableCircs);circBlobsOnly = ismember(labeledImage, indexes);imshow(circBlobsOnly);How about comparing length around the blob and length around the bounding box of the blob, like:
% sample blogs
I = imread('pillsetc.png');Iblob = rgb2gray(I) > 200;% measure perimeter and bounding box for each blob
stats = regionprops(Iblob,{'BoundingBox','perimeter'});stats = struct2table(stats);% extract the blob whose perimeter is close to round length of its bounding box
stats.Ratio = 2*sum(stats.BoundingBox(:,3:4),2)./stats.Perimeter;idx = abs(1 - stats.Ratio) < 0.1;stats(~idx,:) = [];% show the result
imshow(Iblob);hold onfor kk = 1:height(stats) rectangle('Position', stats.BoundingBox(kk,:),... 'LineWidth', 3,... 'EdgeColor', 'g',... 'LineStyle', ':');end
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