how to compare ground truth image with segmented image?
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BW2=imread('C2.png'); %segmented image
figure,imshow(BW2)
BW=imread('001_mask.png'); %groundtruth-image
figure,imshow(BW)
% mask = false(size(BW2));
% mask(25:end-25,25:end-25) = true;
% BW = activecontour(BW2, mask, 300);
similarity = jaccard (BW2, BW)
figure
imshowpair(BW2, BW)
title(['Jaccard Index = ' num2str(similarity)])
I am trying to find accuracy but got an error.
Undefined function 'jaccard' for input arguments of type 'uint8'.
Error in Untitled (line 8)
similarity = jaccard (BW2, BW)
what will be changed in this code?
댓글 수: 2
Arslan Ahmed Awan
2019년 10월 22일
You have to Install MATLAB R2017b because jaccard was introduced in Image Processing Toolbox of R2017b.
답변 (2개)
Constantino Carlos Reyes-Aldasoro
2019년 10월 22일
Jaccard index is the intersection (BW.*BW2) over the union (BW|BW2) or ((BW+BW2)>0), so you can calculate directly like this
sum(sum( BW.*BW2)) / sum(sum( BW|BW2))
Accuracy is different, that is how many pixels are exactly the same (including background)
sum(sum(BW==BW2)) / prod(size(BW))
댓글 수: 0
Leandro Hidalgo Torres
2019년 10월 25일
Hi,
Jaccard needs their arguments to be logical type. Check the data type of BW and BW2, surely they are uint8 type. If it's true, use BW=logical(BW) and the problem will be solved,
Best regards,
LH
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