Measure the average intensity of pixels in a specified area repeatedly in the same image
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Tim Sanborn on 23 Feb 2017
Commented: Image Analyst on 8 Mar 2017
I'm trying to measure average intensity within specified locations repeatedly in the same image, and then iterate to do this over multiple images. I'm finding MATLAB can only handle so many cropped images at a time. There must be an easier way to do this. Here is what I have so far.
A = cat(2,B,Th); %Concatenate ROI array in form [X,Y,dX,dY] to create specified regions (1285x4x6) -> many regions
%Use ROI array to determine mean intensities of sensors
for j = 1:numframes
for a = 1:1285 %number of ROI per image -> can only be cut down by about 1/3 for future
c(:,:,a,j) = imcrop(z(:,:,j),A(a,:,j));
m = mean(mean(c(:,:,a,j)));
Is there another way to do this than with imcrop. It seems very inefficient. It is struggling with the first 6 images right now and I have to do this for 600 so I need a more efficient way.
Sid Jhaveri on 3 Mar 2017
Instead of using 2 for-loops, try using vectorization . This should help improve the performance.
Image Analyst on 3 Mar 2017
Do the ROI overlap or are they all separate? If they're all separate, you can do it once to make up a binary image with all the masks, then call regionprops() to get the mean of all regions at once.
And you don't need to store all your c arrays. You can simply overwrite it each time:
thisSubImage = imcrop(z(:,:,j),A(a,:,j));
m(a) = mean2(thisSubImage); % Compute the mean for this 2-D channel of z.
Tim Sanborn on 8 Mar 2017
Image Analyst on 8 Mar 2017
There is no way a centroid can be outside the edges of the image. It might be outside of a blob, like the centroid of a fat C shape is in the center outside the C itself, but you can't have a centroid be outside the entire image itself.
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