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How to do Thermal image Normalization with range 0 to 40

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Hi all I'm doing research about using thermal image for temperature measurement for medical purposes, I try to repeat methodology of paper "Face and eyes localization algorithm in thermal images for temperature measurement of the inner canthus of the eyes". They used Normalization of thermal image with range 0 to 40, and they got these results.
I tried the code below:
tt = imread('test.jpg');
figure, imshow(tt)
tt = double(tt);
normimg = uint8(zeros(size(tt)));
for idx = 1 : 3
chan = tt(:,:,idx);
minvalue = min(chan(:));
maxvalue = max(chan(:));
normimg(:,:,idx) = uint8((chan-minvalue)*40/(maxvalue-minvalue));
figure, imshow(normimg)
and I got different results so what I should do to get same results Thank you in advance


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Accepted Answer

Image Analyst
Image Analyst on 16 Jan 2017
You're not doing what they did. You're doing something completely different. All they did was to change the colormap, not change the matrix or get a new matrix scaled to a different range. So all you have to do is to display your thermal image and apply a colormap and use caxis() to set the range to 30-40
imshow(thermalImage, []);
colormap(hot(256)); % Whatever map you want.
caxis([30, 40]);
Now a value of 30 in your image will be mapped to the lowest color in the colorbar, and a value of 40 will be mapped to the highest color. Values outside those limits 30-40 will take on the value of the color at the limit.


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Mohammed  Jaddoa
Mohammed Jaddoa on 21 Jan 2017
Hi I got mat file of thermal image for animal so how to make it in temperature range
Image Analyst
Image Analyst on 21 Jan 2017
Why isn't the thermal image already in units of temperature? Did you make a mistake and take the pseudocolored RGB image instead of the actual thermal image? Doesn't your camera output the thermal image? Are you sure? Is all you can get a grayscale or colored image? What model of camera are you using?

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More Answers (1)

Vishal Neelagiri
Vishal Neelagiri on 16 Jan 2017
You might be implementing the algorithm given in the publication incorrectly. The code that you mentioned seems to be correct in normalizing the RGB values of the image from 0 to 40, however there must have been something else that you might be missing from the publication.
This is because 'tt=imread('Test.jpg')' stores the RGB values of the image in the 'tt' matrix. The remainder of your script loops through the entire 'tt' matrix and normalizes the values between 0 and 40. So, the RGB values are between 0 and 40.
If you look at the colors corresponding to the RGB values in this website, , you can observe that it is not possible to output the red or orange shades without going beyond RGB value 40. So, the dark image that you are observing seems to be the expected behavior.


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