Neeta Dsouza answered . 2024-05-16 16:09:27

• mask is a 2D binary matrix (true|false values)
• target is the (x,y) coordinates of the target that lies within one of the objects in the image.

RGB = imread('pillsetc.png'); % image processing toolbox
mask = imbinarize(rgb2gray(RGB));
target = [430,170];

1. The closest true pixel in the image to the target is identified using pdist2.
2. Each group of true values in the binary image is assigned a group number using bwlabel.
3. The group number that belongs to the group closest to the target is stored in targetGroup.
4. All other groups of true values in the binary matrix are removed.

[rownum, colnum] = find(mask); 
[~,I] = pdist2([colnum,rownum],target,'cityblock','smallest',1);

maskLbl = bwlabel(mask);
targetGroup = maskLbl(rownum(I),colnum(I));

maskClean = mask;
maskClean(maskLbl ~= targetGroup) = false;

figure()
tiledlayout(1,2)
nexttile
imagesc(mask)
colormap(parula(2))
hold on
plot(target(1), target(2), 'rx', 'DisplayName', 'target')
plot(colnum(I),rownum(I), 'ro', 'DisplayName', 'Nearest true value')
title('full binary image')
axis tight
axis equal

nexttile
imagesc(maskClean)
colormap(parula(2))
hold on
plot(target(1), target(2), 'rx', 'DisplayName', 'target')
plot(colnum(I),rownum(I), 'ro', 'DisplayName', 'Nearest true value')
title('trimmed binary image')
axis tight
axis equal
lg = legend();
lg.Layout.Tile = 'south';

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