# Trying to find the error in logic

5 views (last 30 days)
Rida Memon on 2 Mar 2020
Commented: Rida Memon on 3 Mar 2020
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;
Threshold = 240;
raw_x_ray='ee.png';
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);
SE = strel('square',2);
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 CommentsShow 1 older commentHide 1 older comment
Rida Memon on 2 Mar 2020
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

Daniel Vieira on 2 Mar 2020
Edited: Daniel Vieira on 2 Mar 2020
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.
Rida Memon on 3 Mar 2020
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.

### Categories

Find more on Recognition, Object Detection, and Semantic Segmentation in Help Center and File Exchange

### Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by