How to calculate the summation pixel counts seperately.

조회 수: 4(최근 30일)
mohd akmal masud
mohd akmal masud 2021년 11월 12일
답변: Image Analyst 2021년 11월 13일
Hi all, I have 146 slices images. That is dicom images. every pixel have their own counts (index number) like picture below. I used this below command to read it first.
%% Read main set data
clear all
[spect map]=dicomread('I131256x256 10N1.dcm');
info = dicominfo('I131256x256 10N1.dcm');
Then I used used command below to do some segmentation for the 4 sphere blob. The image binary as below.
%% NI KALAU VOLUME1 en amin prepapre 10:1
% BCKG 69 MAX 381 bckgratio=5.52
seedR1 = 110; seedC1 = 149; seedP2 = 88;
W1 = graydiffweight(spect, seedC1, seedR1, seedP2 , 'GrayDifferenceCutoff', 1000000);
thresh1 = 0.004478;
[BW1, D1] = imsegfmm(W1, seedC1, seedR1, seedP2, thresh1);
% figure, imshow3D(BW1)
T1 = regionprops('table', BW1,'Area','Centroid')
% NI KALAU VOLUME2 en amin prepapre 10:1
% BCKG 69 MAX 221 bckgratio=3.20
seedR2 = 134; seedC2 = 148; seedP2 = 88;
W2 = graydiffweight(spect, seedC2, seedR2, seedP2 , 'GrayDifferenceCutoff', 1000000);
thresh2 = 0.001437;
[BW2, D2] = imsegfmm(W2, seedC2, seedR2, seedP2, thresh2);
% figure, imshow3D(BW2)
T2 = regionprops('table', BW2,'Area','Centroid')
% NI KALAU VOLUME3 en amin prepapre 10:1
% BCKG 69 MAX 143 bckgratio=2.07
seedR3 = 146; seedC3 = 127; seedP3 = 88;
W3 = graydiffweight(spect, seedC3, seedR3, seedP3 , 'GrayDifferenceCutoff', 1000000);
thresh3 = 0.000326;
[BW3, D3] = imsegfmm(W3, seedC3, seedR3, seedP3, thresh3);
% figure, imshow3D(BW3)
T3 = regionprops('table', BW3,'Area','Centroid')
% NI KALAU VOLUME4 en amin prepapre 10:1
% BCKG 69 MAX 109 bckgratio=1.57
seedR4 = 134; seedC4 = 107; seedP4 = 88;
W4 = graydiffweight(spect, seedC4, seedR4, seedP4 , 'GrayDifferenceCutoff', 1000000);
thresh4 = 0.000092;
[BW4, D4] = imsegfmm(W4, seedC4, seedR4, seedP4, thresh4);
% figure, imshow3D(BW4)
T4 = regionprops('table', BW4,'Area','Centroid')
allBW = BW1 | BW2 | BW3 | BW4 ;
My problem is how to get the total counts for each blob?
I try this one but it summation of all counts pixel for all blob
>> totalcountseachblob = sum(spect(allBW==1))
totalcountseachblob =
Anyone can help me?

채택된 답변

yanqi liu
yanqi liu 2021년 11월 13일
sir,may be use
save allBW.mat allBW
and upload this mat file, so we can do some code to analysis
  댓글 수: 5
mohd akmal masud
mohd akmal masud 2021년 11월 13일
its work..tq so much sir..

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추가 답변(1개)

Image Analyst
Image Analyst 2021년 11월 13일
@mohd akmal masud you have the image of all 4 blobs, allBW, so to get the area of each one you simply need to do
totalcountseachblob = nnz(allBW);
That is the total number of pixels in the binary image. If you want the "integrated gray values" from the original gray scale image, you can use that as a mask
pixelValues = spect(allBW);
igv = sum(pixelValues);
Also you have the "total counts for each blob" if you just run regionprops() on your allBW image:
allT = regionprops('table', allBW,'Area','Centroid') % The individual areas of each blob in a table.
allAreas = allT.Area; % The individual areas of each blob in a double vector.

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