How can I find 2D matrix of each channel in hypercube of dimensions M*N*D

In the code we have (472*475*20) 3D array and if I view only one channel then the image is not correct. The image in hyperspectral viewer and the result is attached in the screenshot below

2D one layer Image in hyperspectral viewer:

One channel image using code

Answer 1

[Image Analyst]

I can't run an image. I can only run code if it's in text form.

It looks like you have a lot of salt and pepper noise. You can remove it with a modified median filter like I've attached. Once removed, imagesc should scale it better. Alternatively you can use imadjust or imadjustn.

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

TUTORIAL: How to ask a question (on Answers) and get a fast answer

[Himanshu Joshi]

I have attached the code in the comments. Please have a look

https://in.mathworks.com/matlabcentral/answers/1781570-how-can-i-find-2d-matrix-of-each-channel-in-hypercube-of-dimensions-m-n-d#answer_1028785

Answer 2

[Himanshu Joshi]

Data for the code is :

https://drive.google.com/drive/folders/1EsKCJ_hmit4KlGBy0DdAWgBkM-fxo1MV?usp=sharing

Code is written as

clc

clear

info = enviinfo('20220814_130323.hdr');

% edit ('20220814_130323.hdr')

hcube = hypercube('20220814_130323.dat');

% edit ('Cropped_Cancer.hdr')

% hcube

% rgbImg = colorize(hcube,'Method','RGB');

% %image of the data

% figure

% title('RGB Image of Data Cube')

% X = multibandread('20220814_130323.dat',[472,475,301],'single',0,'bsq','ieee-be');

% X = multibandread(...,subset1,subset2,subset3)

sig = fippi(hcube,5);

newhcube = selectBands(hcube,sig,'NumberOfBands',10);

enviwrite(newhcube,'newData');

newhcube

rgbImg = colorize(newhcube,'Method','RGB');

X = multibandread('20220814_130323.dat',[472,475,20],'single',0,'bsq','ieee-be');

%

for i=1:1:20

J=X(:,:,(i));

figure

colormap('gray')

imagesc(J)

end