binary mask of RGB image

% Extract the individual red, green, and blue color channels.
redChannel = rgbImage(:, :, 1);
greenChannel = rgbImage(:, :, 2);
blueChannel = rgbImage(:, :, 3);
redMask = redChannel >= redMin & redChannel <= redMax;
greenMask = greenChannel >= greenMin & greenChannel <= greenMax;
blueMask = blueChannel >= blueMin & blueChannel <= blueMax;
finalMask = redMask | greenMask | blueMask;

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Imran Riaz 2022-7-20

Can you recommend any other way to remove the background automatically, bcz I have more that 4500 images.

Image Analyst 2022-7-20

I'd convert to HSV and look for Saturation values below and above 0.25. Below will be white/gray, and above will be colored/skin. Use the Color Thresholder on the Apps tab.

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