adding pixels of each binary image in time series
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I have time series of classified binary images with same number of rows and columns, I would like to add the values for each cell (eg. (1,1)) of every image. then divide addition for a cell with number of images to get percentage.
idea is to get the percentage for each cell in this time series 1.tif, 2.tif,......10.tif
then plot this percentage for each cell on a 3D graph with varying colors.
hints or suggestions will be helpful. Thanks in advance!!
Ravindra
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Image Analyst
le 4 Sep 2014
See the FAQ for source code samples: http://matlab.wikia.com/wiki/FAQ#How_can_I_process_a_sequence_of_files.3F
Inside the loop over images, have this
if k == 1
% It's the first image. Create the sum image.
sumImage = double(binaryImage);
else
% It's the second or later. Add it.
sumImage = sumImage + double(binaryImage);
end
Then after the loop divide sumImage by the number of images to get the percentage image.
percentageImage = 100 * sumImage / numberOfImages;
imshow(percentageImage, []); % Display scaled to 0-255 with the [] option.
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Image Analyst
le 4 Sep 2014
Not very robust since you don't check that the files exist, but it looks like it should work. I have no idea how to make a graph out of the percentage image - maybe you could use surf() if you don't want to use imshow().
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