Which mask can I use to count particles in an image?

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Marianna Pizzo
Marianna Pizzo 2019-11-24
评论： Image Analyst 2024-4-29
Hello, I have this image and I want to count particles in it. I have binarized the image with the code reported below and now I have to count particles. It was told me that I have to find a mask that compare white particles to an objet (maybe a circle) of established dimensions and if the object is contained in the white particles than I can consider it a particle, if is not I go on. What can I use?
clear all
close all
clc
I=imread('dapi_cd105-FGF.jpg');
I2=I(:,:,3);
BW=imbinarize(I2);

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Image Analyst
Image Analyst 2019-11-24
There are a number of measures you can do to compare it to a circle, such as the aspect ratio (ask for BoundingBox), Solidity, and circularity (ask for Area and perimeter);
props = regionprops(mask, 'Area', 'Perimeter', 'Solidity', 'BoundingBox');
allAreas = [props.Area];
allPerim = [props.Perimeter];
circularities = allPerim .^2 ./ (4 * pi * allAreas);
bb = vertcat(props.BoundingBox);
aspectRatios = bb(:, 3) ./ bb(:, 4);
Aspect ratios, solidities, and circularities should all be around 1 or so. Anything more than about 2 or 3 is not very circular.
  2 个评论
Marianna Pizzo
Marianna Pizzo 2019-11-24
Thank you so much, finding areas I maneged to get the number of particles.
Image Analyst
Image Analyst 2019-11-25
If all you needed was a count of the blobs in the binary image, you could use bwlabel():
[labeledImage, numberOfBlobs] = bwlabel(binaryImage);
but that's on the original image, not the number that you'd have after you post process to extract only round blobs.

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KALYAN ACHARJYA
KALYAN ACHARJYA 2019-11-24
编辑：KALYAN ACHARJYA 2019-11-24
No need any special mask, use regionprops function
Steps:
  1. Convert to binary image with adjustable threshold value
  2. Counts the blobs in binary image, here blobs represents the particles in the image
As first step you have already done, for second step here is the code
blobs_data=regionprops(binary_image);
num_blobs=numel(blobs_data);
Or
From your code
I=imread('dapi_cd105-FGF.jpg');
I2=I(:,:,3);
BW=imbinarize(I2);
blobs_data=regionprops(BW);
num_blobs=numel(blobs_data)
Anna Demetriou
Anna Demetriou 2024-4-29
hello, how can i count microparticles from an image in 2 different places and compare them in a graph?
  1 个评论
Image Analyst
Image Analyst 2024-4-29
Make a mask up for each ROI, then call regionprops on it. AND the roi mask with the particle mask to get a segmentation of just the particles within the ROI.
If you have any more questions, then attach your data and code to read it in with the paperclip icon after you read this:
TUTORIAL: How to ask a question (on Answers) and get a fast answer

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