How do I give the spectrogram a colormap option and save it as it is when plotted?
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jinwoo lee
on 24 Aug 2020
Edited: Nagasai Bharat
on 28 Aug 2020
Here's my code
% feature_size :[257,7]
figure(1)
imagesc( some_image_smaple )
colormap(jet(128))
set(gca,'YDir','normal')
above code shows like this :
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/350720/image.png)
But when I try to save this feature, if I use the code below,
cmap=jet(128);
imwrite( some_image_sample, cmap, 'sample.jpg');
it shows like this :
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/350723/image.png)
I'm not sure what's wrong, but I'd appreciate it if you let me know.
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Accepted Answer
Nagasai Bharat
on 27 Aug 2020
Edited: Nagasai Bharat
on 28 Aug 2020
Hi,
In general, “imwrite” save an image which is of the format RGB. So, there is necessity to change the image displayed by “imagesc” (which scales the image such that the full range of colormap) in order to save the same image. This change is such that the normalized image array with colormap indices should be passed into imwrite function.
The following code solves your issue.
figure(1)
im = imagesc(some_image_matrix);
colormap(jet(128))
set(gca,'YDir','normal')
cmap=jet(128);
img_o = im.CData; % im is an image object and im.CData gives the image matrix
min_ = min(img_o(:));
max_ = max(img_o(:));
imgr = round((single((im.CData)-min_)./max_-min_)*128); % normalized and converted into colormap indices
img1 = ind2rgb(imgr,cmap); % Converts the indexed array into rgb format
imwrite(flip(img1), 'sample.jpg'); % flip is used as 'imagesc' inverts the axes when displayed
2 Comments
Nagasai Bharat
on 28 Aug 2020
Edited: Nagasai Bharat
on 28 Aug 2020
Hi,
One small change is instead of 249 divide it by max_-min_.I have changed it in the code try to execute it again. It is the the same as rescale operation. Only difference in your code and mine is you have converted the value to 0 - 255 whereas I have done into 0 - 127 which is much more inlined with the colormap of 128 levels.
Otherthan that both have similar results. Please do let me know the how code is not working.
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