Image Segmentation not working properly

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Shashank 2018-9-24

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https://ww2.mathworks.cn/matlabcentral/answers/420438-image-segmentation-not-working-properly

评论： PeterHaultan 2018-10-7

ImageAnalysis_v01_SegmentationAlgorithm.m

I have written a code to identify the green and black color seeds and then calculate the ratio of the area occupied by green seeds to that of black seeds. I used the color thresholder app to identify the two colors and generated 2 functions- one to segment the green color and another to segment the black. I saved the 2 segmented images in Binary format. Then I found each of the area using bwarea() and hence found out their ratio.

However, the result so obtained is not accurate. For 50:50 ratio (black:green), I get 42:68 and for 70:30, I get 40:60.

Also I am unable to use this function on other similar images with different seeds proportion. Displaying both the binary images using imshowpair(bImg, gImg, 'falsecolor'), I get :

Please tell me where I have gone wrong and what is the solution? Thank you.

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Shashank 2018-9-25

在 MATLAB Online 中打开

Is this the correct way to extract mask-2 and mask-5 from the for loop? If not, how should I extract them?

for c = 1 : numberOfClasses
  
  subplot(3, numberOfClasses, c + numberOfClasses);
  thisClass = allClasses(:, :, c);
  imshow(thisClass);
  caption = sprintf('Image of\nClass %d Indexes', c);
  title(caption, 'FontSize', fontSize);
  maskedRgbImage = bsxfun(@times, rgbImage, cast(thisClass,   
       'like', rgbImage));
  
  subplot(3, numberOfClasses, c + 2 * numberOfClasses);
  imshow(maskedRgbImage);
    if c==2
        x = maskedRgbImage;
    end
      if c==5
          y = maskedRgbImage;
      end
  caption = sprintf('Class %d Image\nMasking Original', c);
  title(caption, 'FontSize', fontSize);
  
  % Make indexed image
  indexedImageK(thisClass) = c;
end
mask25 = x | y;
imshow(mask25);
    if true
      % code
    end

PeterHaultan 2018-10-7

在 MATLAB Online 中打开

Does this help?

   I = imread('lena.jpg');
      I = rgb2gray(I);
      [r,c] = size(I);
      L = kmeans(I(:),5);
      I = reshape(L,[r,c]);
      mask25 = (I==2)|(I==5);