How do I find the pixel co-ordinates in an image in order to find the colour properties like red_mean, blue_mean, etc at that pixel?

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Rucha Apte
Rucha Apte 2019-5-5
评论： Rucha Apte 2019-5-7
I want to find the pixel co-ordinates of an image containing nuclei of cells. I implemented the following commands:
conn_c = bwconncomp(tneg_bwLabel);
PixelListTo = regionprops(conn_c,'PixelList');
I received a struct that has a pixel list. How do I find the red mean, blue mean, gray mean and standard deviation at these particular pixel co-ordinates that I have received in the pixel list?
Also, I am getting values like 29 x 1 double in PixelList. Could you help me understand how to find co-ordinates using these values?

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Image Analyst
Image Analyst 2019-5-5
You don't need to get the pixel locations of every pixel in the blobs. You just pass in the labeled image itself and ask regionprops for the MeanIntensity. Try this:
% Extract the individual red, green, and blue color channels.
redChannel = rgbImage(:, :, 1);
greenChannel = rgbImage(:, :, 2);
blueChannel = rgbImage(:, :, 3);
% Now find the mean intensities for each blob identified by the labeled image.
propsRed = regionprops(tneg_bwLabel, redChannel, 'MeanIntensity');
propsGreen = regionprops(tneg_bwLabel, greenChannel, 'MeanIntensity');
propsBlue = regionprops(tneg_bwLabel, blueChannel, 'MeanIntensity');
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Image Analyst
Image Analyst 2019-5-7
  1. SD of what? The areas of all the blobs, or the sd of the intensities within each blob?
  2. I think you can use join() or vertcat() or semicolon to stitch tables together. Like
tBoth = [t1;t2]; % untested though!
Rucha Apte
Rucha Apte 2019-5-7
  1. SD of intensities within each blob.
  2. join() , vertcat() and horzcat() aren't working as it requires both table t1 and t2 to have same number of rows.

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