How can you brighten certain portions of an image while keeping the other portions with their respective original brightness?

Question

Alexandar 2022-7-1

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https://ww2.mathworks.cn/matlabcentral/answers/1752145-how-can-you-brighten-certain-portions-of-an-image-while-keeping-the-other-portions-with-their-respec

评论： DGM 2022-7-4

I am trying to increase the brightness of a brain atlas. I am trying to brighten the areas 17, 18, and 19 to be brighter than the other areas. I was given to problem to work on and the example given to me was: image(55,35) = 17. Then that pixel of (55,35) is the area of 17. But this does not make sense to me because how can you notice the difference in brightness of just one pixel out of the entire image (note that the atla I am working on is 91, 109, 91).

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Answer 1

Image Analyst 2022-7-1

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https://ww2.mathworks.cn/matlabcentral/answers/1752145-how-can-you-brighten-certain-portions-of-an-image-while-keeping-the-other-portions-with-their-respec#answer_998460

I don't know which areas/regions in your image are labeled 17, 18, and 19. Are they certain regions of the brain comprised of thousands of pixels each?

Or are you talking about the intensity values?

Or does the image values somehow represent an area of something else?

It is possible to visually notice a difference of one gray level in an image under ideal conditions but it's very challending. Of course it's easy to get a difference of one gray level - a map of where the difference is more than 1 gray level but you have to define what your reference gray level is or where it comes from.

If you have any more questions, then attach your data and code to read it in with the paperclip icon after you read this:

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Alexandar 2022-7-3

在 MATLAB Online 中打开

So this is my code that runs through the slice images of a brain atlas:

% Load Atlas
            % Relies on https://www.fieldtriptoolbox.org/template/atlas/ and
            % https://github.com/fieldtrip/fieldtrip/tree/master/template/atlas and
            % https://www.gin.cnrs.fr/en/tools/aal/
            aalAtlas = ft_read_atlas('ROI_MNI_V4.nii');
            %aalX = 91; %size(aal.tissue,1);
            %aalY = 109; %size(aal.tissue,2);
            %aalZ = 91; %size(aal.tissue,3);
            image = ones(91, 109,'int8');
            help image
            image(:,:) = aalAtlas.tissue(:, :, 50); %the tissue is part of the 3D image of the Atlas that looks at tissue
            %imshow(image)
            image
            total = bwarea( image );
%put it in a for loop to display each sect ion
            for slice = 1:91
               image(:,:) = aalAtlas.tissue(:, :, slice);
               Colorimage = ind2rgb(image, colorcube);
               %HueBigArr = aalAtlas.tissue/128;
               %ValBigArr = HueBigArr;
               %NotGM = find(aalAtlas.tissue==0);
               %ValBigArr(NotGM) = 0.;
               imshow(Colorimage)
              % Bimage = resize(image,5);
              % imshow(Bimage)
            end
            size(aalAtlas.tissue); %this is written for reference of the size of Atlas

Specifically, this is the code for a button that I made for the app creator that loads the brain atlas images everytime you click the "brain atlas" button I created. After I click that button, this is code that loads from the command window which will be in my next comment.

Alexandar 2022-7-3

在 MATLAB Online 中打开

the coordinate system appears to be 'aligned'
image is a variable of type int8.
image =
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Alexandar 2022-7-3

在 MATLAB Online 中打开

Continued:

Columns 45 through 66
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 64   64   64   64   64   64   64   64   64   64   64   58   58   58   58   58   58   58    2    2    2
 64   64   64   64   64   64   64   64   64   64   64   58   58   58   58   58   58   58    2    2    2
 64   64   64   64   64   64   64   64   64   64   64   64   58   58   58   58   58   58    2    2    2
 64   64   64   64   64   64   64   64   64   64   64   64   58   58   58   58   58    2    2    2    2
 64   64   64   64   64   64   64   64   64   64   64   64   58   58   58   58   58    2    2    2    2
 64   64   64   64   64   64   64   64   64   64   64   64   58   58   58   58   58    2    2    2    2
 64   64   64   64   64   64   64   64   64   64   64   58   58   58   58   58   58    2    2    2    2
 64   64   64   64   64   64   64   64   64   64   64   58   58   58   58   58   58    2    2    2    2
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 64   64   64   64    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    2    2
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 63   63    0    0    0    0    0    0    0    0    0    0    0    0    0    1    1    1    1    1   11
 63   63   63   63   63    0    0    0    0    0    0    0    0   57    1    1    1    1    1    1   11
 63   63   63   63   63   63   63   57   57   57   57   57   57   57    1    1    1    1    1    1    1
 63   63   63   63   63   63   63   57   57   57   57   57   57   57   57    1    1    1    1    1    1
 63   63   63   63   63   63   63   57   57   57   57   57   57   57   57   57    1    1    1    1    1
 63   63   63   63   63   63   63   57   57   57   57   57   57   57   57   57    1    1    1    1    1
 63   63   63   63   63   63   63   57   57   57   57   57   57   57   57   57   57    1    1    1    1
 63   63   63   63   63   63   63   57   57   57   57   57   57   57   57   57   57    1    1    1    1
 63   63   63   63   63   63   63   57   57   57   57   57   57   57   57   57   57   57    1    1    1
 63   63   63   63   63   63   63   63   57   57   57   57   57   57   57   57   57   57   57    1    1
 63   63   63   63   63   63   63   63   57   57   57   57   57   57   57   57   57   57   57    0    0
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  Columns 67 through 88
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 12   12   12   12   12   12   12   14   14   14   14   14   14   14   14   14    0    0    0    0    0
 12   12   12   12   12   12   12   14   14   14   14   14   14   14   14   14    0    0    0    0    0
 12   12   12   12   12   12   14   14   14   14   14   14   14   14   14   14    8    8    0    0    0
 12   12   12   12   12   12   14   14   14   14   14   14   14   14   14   14    8    8    8    0    0
 12   12   12   12   12   12   14   14   14   14   14   14   14   14   14   14    8    8    8    8    8
 12   12   12   12   12   14   14   14   14   14   14   14   14   14   14   14    8    8    8    8    8
 12   12   12   12   14   14   14   14   14   14   14   14   14   14   14    8    8    8    8    8    8
 12   12   12   12   14   14   14   14   14   14   14   14   14   14    8    8    8    8    8    8    8
 12   12   12   12   14   14   14   14   14   14   14   14   14   14    8    8    8    8    8    8    8
  0    0    0   12   14   14   14   14   14   14   14   14   14    8    8    8    8    8    8    8    8
  0    0    0   14   14   14   14   14   14   14   14   14   14    8    8    8    8    8    8    8    8
  0    0    0   14   14   14   14   14   14   14   14   14    8    8    8    8    8    8    8    8    8
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  0    0    0    0    0    0    0   32   32   32   32   32   32   32   32   32    4    4    4   24   24
  0    0    0    0    0   32   32   32   32   32   32   32   32   32   32   32   32   32   32   32   24
  0    0    0   32   32   32   32   32   32   32   32   32   32   32   32   32   32   32   32   32   24
  0    0   32   32   32   32   32   32   32   32   32   32   32   32   32   32   32   32   32   32   24
  0   32   32   32   32   32   32   32   32   32   32   32   32   32   32   32   32   32   32   32   32
 32   32   32   32   32   32   32   32   32   32   32   32   31   31   31   31   31   23   23   23   23
 31   31   31   31   31   31   31   31   31   31   31   31   31   31   31   31   31   23   23   23   23
 31   31   31   31   31   31   31   31   31   31   31   31   31   31   31   31   31   23   23   23   23
 31   31   31   31   31   31   31   31   31   31   31   31   31   31   31   31   31   23   23   23   23
  0   31   31   31   31   31   31   31   31   31   31   31   31   31   31   31   23   23   23   23   23
  0    0    0   31   31   31   31   31   31   31   31   31   31   31   31   31   23   23   23   23   23
  0    0    0    0    0    0    0    0    0   31   31   31   31   31   31   23   23   23   23   23   23
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  0    0    0    0    0    0    0    0    0    0    0    0   31   23   23   23   23    3    3    3    3
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 11   13   13   11   11    0    0   13   13   13   13   13   13   13    7    7    7    7    7    7    7
 11   13   13   13   13   13   13   13   13   13   13   13   13   13   13    7    7    7    7    7    7
 11   13   13   13   13   13   13   13   13   13   13   13   13   13   13    7    7    7    7    7    7
 11   13   13   13   13   13   13   13   13   13   13   13   13   13   13    7    7    7    7    7    7
 11   13   13   13   13   13   13   13   13   13   13   13   13   13   13    7    7    7    7    7    7
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Alexandar 2022-7-3

在 MATLAB Online 中打开

continued:

Columns 89 through 109
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Alexandar 2022-7-4

@DGM How does (6,:) only target the orange triangle? Also, what does adding .2 do to it? Thank you again for your help in advance.

DGM 2022-7-4

It doesn't target only the orange triangle. It targets all regions with the index 5. The orange triangle happens to be the only object of that color.

The color map looks like:

map =

0 0 0

0.1686 0.6824 0.7843

0.7333 0.7843 0.1686

0.7843 0.1686 0.5569

0.1686 0.7843 0.6706

0.7843 0.4471 0.1686

0.2039 0.1686 0.7843

0.5490 0.1686 0.7843

0.7843 0.2078 0.1686

0.2824 0.7843 0.1686

0.7843 0.1686 0.3647

0.4549 0.1686 0.7843

Since array indexing is 1-based and color indexing in indexed images is 0-based, a pixel with the color index 5 is filled with the sixth color from the color map.

Adding or subtracting a scalar value from a color is the most basic interpretation of "adjusting the brightness". I just picked an arbitrary amount. It doesn't have to be 0.2.

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How can you brighten certain portions of an image while keeping the other portions with their respective original brightness?

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