MATLAB: IY component is the normalized version of the original intensity channel and how to segment it using the bi-level thresholding method for doing background seperation

disease detectionImage Processing Toolboximage segmentationleafleaf disease detection

I tried to seperate the background of the leaf image for disease detection ,so I want to do background seperation,IY component is the normalized version of the original intensity channel and how to segment it using the bi-level thresholding method for doing background seperation

Best Answer

Try imbinarize(). If that doesn't work, then attach your image. Usually when people want image processing advice, they attach an image because it's hard to work blind.

Also search for the tag "leaf" because for some reason people ask about leaf segmentation all the time.

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See my attached code. I use an image with black background and even black spots inside it. I correctly identify the diseased areas and give the area fraction of them relative to the entire leaf area (diseased + healthy areas).

If this solves your question, please mark as Accepted.

MATLAB: How can i check if an image is RGB or grayscale or binary

You can convert to grayscale using a combination of all color channels:

grayImage = rgb2gray(rgbImage);

Or you can extract one of the color channels:

% Extract the individual red, green, and blue color channels.
redChannel = rgbImage(:, :, 1);
greenChannel = rgbImage(:, :, 2);
blueChannel = rgbImage(:, :, 3);

You can get the size (dimensions) like this:

[rows columns numberOfColorChannels] = size(yourImageArray);

Best Answer

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MATLAB: Threshold value question using otsu method

MATLAB: How can i check if an image is RGB or grayscale or binary

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