How to distinguish different color cells in the image?

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larry liu
larry liu 2021-6-23
评论： Image Analyst 2021-6-23
I have an image with two different color cells like below shows
and I need to claasify it and count how much cells like below shows red and yellow
how can I do that?
I have tried edge detection but it seems doesnt work.

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Image Analyst
Image Analyst 2021-6-23
They don't look very different to me. I'd try the Color Thresholder on the Apps tab of the tool ribbon. Try HSV and RGB color spaces and see if you can get differentiation.
  2 个评论
larry liu
larry liu 2021-6-23
if I got the image like this, then how can I count the number of circles?
Image Analyst
Image Analyst 2021-6-23
You can first get rid of the grid with imclearborder(). That might get rid of some blobs that are connected to it though. If you don't want to lose them, then don't use a grid.
Then you can find round particles by looking at their circularity.
mask = imclearborder(mask); % Get rid of grid and blobs touching it.
mask = imfill(mask, 'holes');
props = regionprops(mask, 'BoundingBox', 'Area', 'Perimeter');
bb = vertcat(props.BoundingBox);
widths = bb(:, 3);
heights = bb(:, 4);
aspectRatios = widths ./ heights;
allAreas = [props.Area];
allPerimeters = [props.Perimeter];
circularities = allPerimeters .^ 2 ./ (4 * pi * allAreas);
% Get indexes of blobs where aspect ratio is less than about 3 and
% circularities less than about 5. Adjsut as needed.
keeperIndexes = (circularities < 5) & ...
(aspectRatios < 3) & ...
(1./aspectRatios < 3)
[labeledImage, numInitialBlobs] = bwlabel(mask);
fprintf('Before shape filtering, found %d blobs.\n', numInitialBlobs);
mask = ismember(labeledImage, find(keeperIndexes));
imshow(mask);
% Remeasure with the filtered set of blobs.
props = regionprops(mask, 'BoundingBox', 'Area', 'Perimeter');
numFinalBlobs = length(props);
fprintf('After filtering, found %d blobs.\n', numFinalBlobs);

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