How to change the color of each pixel in a masked image?

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JovanS 2022 年 10 月 7 日
コメント済み: JovanS 2022 年 10 月 12 日
I found the Euclidean distances between each pixel of the mask and six reference colors. Now i want to change the color of every pixel which is in the skin lesion (masked image). Each pixel has to change color and will take the color of the shortest euclidean distance ( for example if the shortest euclidean distance is the one with red color , the pixel will turn into red). So I have to create a new image in which every pixel of mask will obtain one color of the 6 reference colors. Then the last step is to check if the number of pixels belonging to each reference colour exceeds by 5% of the total number of pixels of the lesion. If this occurs the color score is incremented by 1, otherwise the color score of each color is 0.
Any idea for doing this procedure ?
I attach my matlab code so far .
  1 件のコメント
JovanS 2022 年 10 月 11 日
@Image Analyst could you please help me ?



Image Analyst
Image Analyst 2022 年 10 月 11 日
You just didn't use the min function like I suggested in your other post. Here's the relevant snippet. The full demo is attached.
% Stack all the delta E into a 3-D image.
stack_array = cat(3,deImage_bg,deImage_wh,deImage_bl,deImage_red,deImage_db,deImage_lbr);
% Produce a classified image where the value is the slice that has the lowest delta E.
[~, classifiedImage] = min(stack_array, [], 3);
hFigClassified = figure;
imshow(classifiedImage, [])
cmap = lines(6);
hcb = colorbar(gca,'Ticks', 1:6, 'TickLabels', {'BlueGray', 'White', 'Black', 'Red', 'Dark Brown', 'LightBrown'});
hcb.Label.String = 'Color Category';
hold on;
hold off;
title('Classified Image', 'FontSize',fontSize)
hFigClassified.WindowState = "maximized";
Here is the image showing the classifications. As you can see, most of the melanoma is classified as being in the dark brown category.
  7 件のコメント
JovanS 2022 年 10 月 12 日
編集済み: JovanS 2022 年 10 月 12 日
ok thank you but one last question , column 1corresponds to bluegray , 2 to white , 3 to black , 4 to red , 5 to darkbrown and 6 to lightbrown?? because according to this , the most number of pixels are lightbrown. As we saw in classifiedimage the melanoma is classified as being in the dark brown category. @Image Analyst


その他の回答 (1 件)

Benjamin Thompson
Benjamin Thompson 2022 年 10 月 11 日
See if this helps. There is probably a faster way to do it with color mapping functions in the Image Processing Toolbox but it does not take very long on your image size.
  4 件のコメント
JovanS 2022 年 10 月 12 日
I attach you the final code, if you could check it, thank you very much for your help!@Image Analyst


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