Calculating percentage of brown pixels over other colors in tumor

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Hi everyone,
I want to calculate percentage of white signals over black ones (but just in the tumor roi). I mean the code that I am using now calculating all black pixels in picture so gives me small percantage but I need calculate just in the tumor area.
Can you help me to remove other black parts from calculations?
THANKS

Respuesta aceptada

Simon Chan
Simon Chan el 23 de En. de 2022
Define the tumor roi and then calculate the white pixels inside the roi:
clear;clc;
rawdata=imread('image.png');
BW = rgb2gray(rawdata);
J = imclearborder(BW); % Clear pixels in the boundary
black = sum(BW==0,'all');
white = sum(BW~=0,'all');
tiledlayout(1,2,'TileSpacing','none','Padding','none')
nexttile
imshow(rawdata,[]);
title(sprintf('Original Image, Black Pixel: %d, White Pixel: %d',black,white));
BW2=bwconvhull(J); % Finding the mask
BW3 = bwperim(BW2); % Finding the perimeter, only for figure display
[r,c]=find(BW3);
for k = 1:length(r)
rawdata(r(k),c(k),1)=255; % Set the pixels in the perimeter to red
end
black = sum((BW==0).*BW2,'all');
white = sum((BW~=0).*BW2,'all');
nexttile
imshow(rawdata);
title(sprintf('Mask Region, Black Pixel: %d, White Pixel: %d',black,white));
  1 comentario
Ugur Akca
Ugur Akca el 23 de En. de 2022
Thank you so much for your help, it is working great and right now,my results is more reasonable.

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R2021b

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