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Home/ Questions/Q 5995169
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Editorial Team
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Editorial Team
Asked: May 22, 20262026-05-22T23:55:18+00:00 2026-05-22T23:55:18+00:00

this code suppose to perform character segmentation from an image in Matlab. the code

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this code suppose to perform character segmentation from an image in Matlab.
the code was given to me by Lucas, so thanks Lucas.

the problem is that I want to understand precisely how the character segmentation is done, I’m don’t want to use it before I understand it.

can anyone explain it for me… thanks.

Lucas code:

    clear all; 
    close all; 
    I = imread('plate.jpg'); 
    BW = im2bw(I, 0.9); 
    BW = ~BW;   
    stats = regionprops(BW); 
    for index=1:length(stats)
        if stats(index).Area > 200 && stats(index).BoundingBox(3)*stats(index).BoundingBox(4) < 30000     
        x = ceil(stats(index).BoundingBox(1))     
        y= ceil(stats(index).BoundingBox(2))     
        widthX = floor(stats(index).BoundingBox(3)-1)     
        widthY = floor(stats(index).BoundingBox(4)-1)     
        subimage(index) = {BW(y:y+widthY,x:x+widthX,:)};      
        figure, imshow(subimage{index})    
    end 
end

link: how to perform character segmentation in Matlab

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-22T23:55:19+00:00Added an answer on May 22, 2026 at 11:55 pm
    clear all; % clear out workspace memory
    close all; % close all figures
    I = imread('plate.jpg'); % load image jpg into I
    BW = im2bw(I, 0.9); % convert color image to black and white image
    BW = ~BW;   % swap black and white
    stats = regionprops(BW); % compute 'Area', 'Centroid', and 'BoundingBox' measurements.
    % The regionprops operation is what "cuts up" the image into possible pieces of interest.
    % You will need to develop your own code for processing.
    for index=1:length(stats)
        % if the stats of the region meet a certain criteria
        if stats(index).Area > 200 && stats(index).BoundingBox(3)*stats(index).BoundingBox(4) < 30000     
        x = ceil(stats(index).BoundingBox(1))     
        y= ceil(stats(index).BoundingBox(2))     
        widthX = floor(stats(index).BoundingBox(3)-1)     
        widthY = floor(stats(index).BoundingBox(4)-1)
        % extract a subimage from the original image and show it.
        subimage(index) = {BW(y:y+widthY,x:x+widthX,:)};      
        figure, imshow(subimage{index})    
    end 
    

    As suggested by Eugene, review the link provided.

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