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how to compute number of pixels in images

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Medical Imaging
Medical Imaging el 28 de Jul. de 2017
Comentada: Image Analyst el 28 de Jul. de 2017
Dear sir I have one ground truth image(image 1) and other segmented image(image 2). I want to compute the number of pixel for white area for image 1 and number of pixel for red area in image 2. and then want to compute the difference of pixels.
  2 comentarios
Adam
Adam el 28 de Jul. de 2017
If the black pixels are all 0s then just use
doc nnz
If they aren't you can still just easily count, for example
nnz( myImage == 7 )
Gianfrancesco Angelini
Gianfrancesco Angelini el 28 de Jul. de 2017
There are many ways to do it. I will suggest you a basic one, hoping to be clearer and helpful
% Define your images
img1 = x1;
img2 = x2;
% Convert them in grayscale, easier approach
img1g = rgb2gray(img1);
img2g = rgb2gray(img2);
figure(); imshow(img1g); %if you want to see the result
figure(); imshow(img2g); %if you want to see the result
% Calculate
img1g_totpx = numel( img1g ); %total number of pixel of img1
img1g_NB = length( img1g(img1g~=0) ); %number of pixel not black of img1
img2g_totpx = numel( img2g ); %total number of pixel of img2
img2g_NB = length( img2g(img2g~=0) ); %number of pixel not black of img2
diffPx = abs( img1g_NB - img2g_NB ); %difference of pixels between the 2 imgs
Cheers

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Image Analyst
Image Analyst el 28 de Jul. de 2017
Because a different person asked this very same question with the very same image, and Walter answered it here I'm thinking it's homework. I've tagged it as such.
  2 comentarios
Walter Roberson
Walter Roberson el 28 de Jul. de 2017
It was the same person, posting twice.
Image Analyst
Image Analyst el 28 de Jul. de 2017
Oh, you're right. He posted it in someone else's discussion. I just saw the original poster's name.

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