Restricting the maximum boundary of region growing algorithm

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Warid Islam
Warid Islam 2021-3-27
评论： Warid Islam 2021-3-28
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.
https://www.mathworks.com/matlabcentral/answers/781898-unable-to-select-seed-points-manually-in-region-growing-algorithm
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)

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采纳的回答

Image Analyst
Image Analyst 2021-3-27
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
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Image Analyst
Image Analyst 2021-3-28
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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