- Load your image into MATLAB using 'imread'.
- Convert to grayscale if it’s an RGB image (e.g., rgb2gray).
- Use a thresholding function to segment particles from the background.
- Perform morphological operations ('bwareaopen', etc.) to clean up the binary mask.
- Convert the binary mask to a labeled image using 'bwlabel'.
- Each connected particle will have a unique label.
- Use 'regionprops' with both the labeled image and the grayscale image. This gives you each particle’s area, mean intensity, and a list of its pixel values.
- For each particle, the total (integrated) intensity is:
I am trying to find each particle area and each particle intensity through matlab.
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I am trying to find each particle area and each particle intensity through matlab. I am using image processing techniques like regionprops, grey image and for intensity i am getting mean intensity. I want to calculate individual or each particle intensity not the mean intensity of partcle. can anyone have anyleads. I am attaching a photo of gold particles for your refernce. 

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Respuestas (2)
TED MOSBY
el 27 de Mzo. de 2025
Hi Tharun,
To measure particle area and total intensity you can follow the below steps:
TotalIntensity=MeanIntensity×Area OR TotalIntensity=summation(Pixelvalues)
I have written an example code for the same:
I = imread('image.jpeg');
if size(I, 3) == 3
Igray = rgb2gray(I); % Convert to grayscale if it is an RGB image
else
Igray = I;
end
level = graythresh(Igray);
BW = imbinarize(Igray, level);
% If needed, remove small noise or fill holes
BW = bwareaopen(BW, 5); % remove objects smaller than 5 pixels (example)
BW = imfill(BW, 'holes');
L = bwlabel(BW);
stats = regionprops(L, Igray, ...
'Area', ...
'MeanIntensity', ...
'PixelValues');
numParticles = numel(stats);
areas = zeros(numParticles,1);
totalIntensities = zeros(numParticles,1);
for k = 1:numParticles
areas(k) = stats(k).Area;
totalIntensities(k) = sum(stats(k).PixelValues);
end
% Display results
table( (1:numParticles)', areas, totalIntensities, ...
'VariableNames', {'ParticleID','Area','TotalIntensity'})
Hope this helps!
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Walter Roberson
el 3 de Abr. de 2025
Editada: Walter Roberson
el 19 de Jun. de 2025
stats = regionprops(L, Igray, ...
'Area', ...
'MeanIntensity', ...
'PixelValues', ...
'Circularity');
stats = stats([stats.Circularity] > THRESHOLD);
Circular objects have a circularity of 1 (which is the maximum possible for the measurement.) You need to decide on some threshold THRESHOLD beyond which objects are to be consider "close enough" to circular to count.
Image Analyst
el 19 de Jun. de 2025
Editada: Image Analyst
el 20 de Jun. de 2025
Not sure what you mean by "Gaussian method" or by "I want to calculate individual or each particle intensity not the mean intensity of partcle." but regionprops can give you the min and max intensity in each blob. It looks at the actual pixel values inside each blob in your mask, once you've determined your mask.
props = regionprops(mask, grayImage, 'MaxIntensity', 'MinIntensity');
allMax = [props.MaxIntensity]
allMin = [props.MinIntensity]
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