Restricting the maximum boundary of region growing algorithm

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Hi,
I am trying to implement a multilayer region growing algorithm for breast tumor segmentation. This is a reference of a previous question that I asked.
TM25.jpg is the original image. I want to restrict the boundary of the region growing algorithm. The boundary is defined as the rectangular region in e2.jpg. I want to manually select the seed point inside the rectangular ROI. However, after implementing the multilayer region growing algorithm , I get the result shown in e1.jpg which is not correct. Any suggestions would be appreciated.
I=im2double(imread('TM25.jpg'));
I=rgb2gray(I);
imshow(I)
k = waitforbuttonpress;
point1 = get(gca,'CurrentPoint'); % button down detected
finalRect = rbbox; % return figure units
point2 = get(gca,'CurrentPoint'); % button up detected
point1 = point1(1,1:2); % extract x and y
point2 = point2(1,1:2);
p1 = min(point1,point2); % calculate locations
offset = abs(point1-point2); % and dimensions
x = [p1(1) p1(1)+offset(1) p1(1)+offset(1) p1(1) p1(1)];
y = [p1(2) p1(2) p1(2)+offset(2) p1(2)+offset(2) p1(2)];
hold on
axis manual
plot(x,y)
[x,y]=getpts;x=round(x);y=round(y);
a=imgaussfilt(I,2);
b=adapthisteq(a);
m=regiongrowing_MLT(b,x,y,12);
m=imfill(m,'holes');
figure,imshow(m)

Accepted Answer

Image Analyst
Image Analyst on 27 Mar 2021
You can call regionprops() on the regions and ask it for the perimeter. Take appropriate action if the perimeter is more than you like
props = regionprops(mask, 'Perimeter');
allPerimeters = [props.Perimeter];
if any(allPerimeters) > maxAllowablePerimeter
% Do something...
end
  7 Comments
Image Analyst
Image Analyst on 28 Mar 2021
You don't apply it to a screenshot of your gray scale image. Why is there that huge white surround around it anyway?
You need to apply regionprops() to your SEGMENTED image. So you need to find blobs of interest somehow and apply it to that binary image, not the grayscale image or screenshot image.

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