Histogram-based RGB segmentation

Question

Teshan Rezel 2020-2-6

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/504085-histogram-based-rgb-segmentation

评论： Teshan Rezel 2020-2-7

采纳的回答： Subhadeep Koley

在 MATLAB Online 中打开

Hi All,

I'm trying to segment an RGB image based on it's histograms; my code is as follows:

    %Split into RGB Channels
    Red = img(:,:,1);
    Green = img(:,:,2);
    Blue = img(:,:,3);
    %Get histValues for each channel
    [yRed, x] = imhist(Red);
    [yGreen, x] = imhist(Green);
    [yBlue, x] = imhist(Blue);
    %Plot them together in one plot
    plot(x, yRed, 'Red', x, yGreen, 'Green', x, yBlue, 'Blue');
    
    histRGB = hist([imhist(Red), imhist(Green), imhist(Blue)]);
    histMask = img.*uint8(histRGB);
    imshow(histMask)

I get the following error when compiling this section: "Array dimensions must match for binary array op." I'm not sure how to fix this, as I'm not well versed in Matlab currently.

Any help will be appreciated!

Thanks

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Answer 1

Subhadeep Koley 2020-2-6

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/504085-histogram-based-rgb-segmentation#answer_414165

在 MATLAB Online 中打开

I am not sure about which algorithm you are trying to implement but below is an example of histogram based segmentation using Otsu's method.

clc; close all;
% Read image into the workspace
img = imread('peppers.png');
% Calculate a 255-bin histogram for the image
[counts, ~] = imhist(rgb2gray(img), 255);
% Compute a global threshold using the histogram counts
T = otsuthresh(counts);
% Create a binary image using the computed threshold
BW = imbinarize(rgb2gray(img), T);
% Display the image
figure; imshowpair(img, BW, 'montage');