how to calculate the disease severity in percentage.

조회 수: 4(최근 30일)
Keerthi  D
Keerthi D 2020년 10월 2일
댓글: Keerthi D 2020년 10월 12일
The severity of a disease depends upon the region being covered by an infection.After identifying the test leaf image sample,percentation of a leaf infection can easily be computed as a ratio of the number of infected pixels is to the number of healthy pixels in the leaf image.
A=(sum of Ai/ AL)*100
Ai is the number of infected image pixels in cluster i(i=1,2,3) and AL represent the total number of pixels lying in the extracted ROI of a leaf image.
upto segmentation code is:
fontSize=10;
location='C:\Users\Keerthi Dev\Desktop\50datasample\original';%folder in which your images exists
ds=imageDatastore(location); %create datastore for all images in your folder
new_folder='C:\Users\Keerthi Dev\Desktop\50datasample\after_resized'; %new folder
k=1;
while hasdata(ds)
img=read(ds); %read image from datastore
scale=imresize(img,[256 256]);
fileName=sprintf('image_%d.jpg',k);
fullFileName=fullfile(new_folder,fileName);
imwrite(scale,fullFileName);
%size(scale)
k=k+1;
%lab conversion
labImage = rgb2lab(scale);
ab = labImage(:,:,2:3);
ab = im2single(ab);
%segmentation
nColors = 3; %repeat the clustering 3 times to avoid local minima
pixel_labels = imsegkmeans(ab,nColors,'NumAttempts',3);
%imshow(pixel_labels,[])
%title('Image labeled by cluster Index');
figure;
subplot(1,4,1)
imshow(scale);
title('leaf image');
mask1 = pixel_labels==1;
cluster1 = scale .* uint8(mask1);
subplot(1,4,2);
imshow(cluster1);
title('objects in cluster1');
mask2 = pixel_labels==2;
cluster2 = scale .* uint8(mask2);
subplot(1,4,3);
imshow(cluster2);
title('objects in cluster2');
mask3 = pixel_labels==3;
cluster3 = scale .* uint8(mask3);
subplot(1,4,4);
imshow(cluster3);
title('objects in cluster3');
end
how to calculate the disease severity?
  댓글 수: 2
Keerthi  D
Keerthi D 2020년 10월 12일
When I try this code, healthy leaf also have disease severity. How is it possible?

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