- 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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Answers (2)
  TED MOSBY
 on 27 Mar 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!
3 Comments
  Walter Roberson
      
      
 on 3 Apr 2025
				
      Edited: Walter Roberson
      
      
 on 19 Jun 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
      
      
 on 19 Jun 2025
        
      Edited: Image Analyst
      
      
 on 20 Jun 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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