how to split an image into 2 according to blob detection in matlab

To split an image into two parts based on blob detection in MATLAB, you can use the following steps:

1. Read the image using the imread function:

main.m
image = imread('image.jpg');
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2. Convert the image to grayscale using the rgb2gray function:

main.m
grayImage = rgb2gray(image);
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3. Apply a threshold to convert the grayscale image into a binary image using the imbinarize function:

main.m
binaryImage = imbinarize(grayImage);
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4. Use blob detection to identify the distinct regions or objects in the binary image. You can use the bwlabel function to label the connected components:

main.m
labeledImage = bwlabel(binaryImage);
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5. Calculate the properties of each detected blob using the regionprops function. In this case, you are interested in the centroid of each blob:

main.m
stats = regionprops(labeledImage, 'Centroid');
centroids = cat(1, stats.Centroid);
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6. Determine the dividing line based on the centroids of the blobs. For example, you can calculate the median Y-coordinate of the centroids:

main.m
dividingLine = median(centroids(:, 2));
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7. Split the original image into two parts based on the dividing line:

main.m
upperImage = image(1:dividingLine, :, :);
lowerImage = image(dividingLine+1:end, :, :);
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8. Display the two resulting images:

main.m
figure;
subplot(1, 2, 1);
imshow(upperImage);
title('Upper Image');

subplot(1, 2, 2);
imshow(lowerImage);
title('Lower Image');
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This code will split the image into two parts based on blob detection using MATLAB.