Trying to find the error in logic

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There is some problem in the logic of this code. It is supposed to segment the lungs from chest radiographs for the set threshold but it is not doing that correctly (providing same results for any threshold value).
clear; clc; close all;
%% Loading images
Threshold = 240;
raw_x_ray='ee.png';
I=imread(raw_x_ray);
figure(101);
imshow(I);
colormap(gray);
title('Grayscale X-Ray');
I=wiener2(I, [7 7]);
figure(102);
subplot(2,1,1);
imshow(I);
subplot(2,1,2);
imhist(I, 256);
a_thresh = I >= Threshold; % set this threshold
[labelImage, numberOfBlobs] = bwlabel(a_thresh);
props = regionprops(a_thresh,'all');
sortedSolidity = sort([props.Solidity], 'descend');
SB = sortedSolidity(1);
if SB == 1
binaryImage = imbinarize(I); figure(103);
imshow(binaryImage); colormap(gray);
SE = strel('square',3);
morphologicalGradient = imsubtract(imdilate(binaryImage, SE),imerode(binaryImage, SE));
mask = imbinarize(morphologicalGradient,0.03);
SE = strel('square',2);
mask = imclose(mask, SE);
mask = imfill(mask,'holes');
mask = bwareafilt(mask,2); % control number of area show
notMask = ~mask;
mask = mask | bwpropfilt(notMask,'Area',[-Inf, 5000 - eps(5000)]);
showMaskAsOverlay(0.5,mask,'r'); % you have to download app/function showMaskAsOverlay
BW2 = imfill(binaryImage,'holes');
new_image = BW2 ;
new_image(~mask) = 0; % invert background and holes
B=bwboundaries(new_image); % can only accept 2 dimensions
figure(104);
imshow(new_image);
ss = strcat('Result_',num2str(Threshold),'.mat');
save(ss,'new_image');
hold on
visboundaries(B);
im8 = im2uint8(new_image);
imwrite(im8, 'ccc.png')
end
  2 个评论
John Petersen
John Petersen 2020-3-2
It would help if you could narrow it down a little more and maybe explain what is wrong about it?
Rida Memon
Rida Memon 2020-3-2
The code is providing same output for any threshold value be it 90,110 or 250 etc.. I feel the problem is in these lines: SB = sortedSolidity(1); if SB == 1

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回答(1 个)

Daniel Vieira
Daniel Vieira 2020-3-2
编辑:Daniel Vieira 2020-3-2
the Threshold parameter doesn't matter at all in your code. you binarize the image with the threshold, measure solidity of blobs, take the largest solidity, and if it's 1 (which is extremely likely) then you throw the previous binarization away and binarize again with default values of imbinarize. I'm not sure that's what you intended to do, but to me it seems unntentional, I don't think this approach goes anywhere.
  1 个评论
Rida Memon
Rida Memon 2020-3-3
Actually i have picked that code from a site. I understand that there is above stated problem with this code. Therefore i need help to correct this code. It should not throw but use that previously obtained threshold. Kindly help me if you can.

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