RGB images are 3-D(i.e 3 , 2-D array for R,G,B ), can we extract these array seperatly?

6 Ansichten (letzte 30 Tage)
I want to convert the 3-D image array into 1-D array, so if i got R,G & B array seperatly then these can be converted into 2-D array easily.. so how to get these 3 (R,G,B) array??

Akzeptierte Antwort

Wayne King
Wayne King am 29 Mär. 2014
Bearbeitet: Wayne King am 29 Mär. 2014
You just select each "page" of the matrix.
im = imread('ngc6543a.jpg');
Rim = im(:,:,1);
Gim = im(:,:,2);
Bim = im(:,:,3);
  4 Kommentare

Melden Sie sich an, um zu kommentieren.

Weitere Antworten (2)

Image Analyst
Image Analyst am 29 Mär. 2014
Extract each color channel
% Extract the individual red, green, and blue color channels.
redChannel = rgbImage(:, :, 1);
greenChannel = rgbImage(:, :, 2);
blueChannel = rgbImage(:, :, 3);
as shown in my attached demo that takes RGB histograms of every image in your folder.
Screenshot:
  7 Kommentare
Image Analyst
Image Analyst am 13 Okt. 2016
That doesn't look right. If the image is 980 by 1280 by 4 color channels, and you've read in all the data, then your reshape would not work since your new desired size does not contain all the pixels. I suggest you start your own discussion thread (rather than keep bugging priyanka), and read this and attach your actual image.
Jeykishan
Jeykishan am 16 Okt. 2022
Thank you for the code. Very informative and usefl for me.

Melden Sie sich an, um zu kommentieren.


priyanka
priyanka am 29 Mär. 2014
When i am using imtool() function and checking the pixel information,pixel value is not matched with the pixel value which is obtained by redChannel = rgbImage(:, :, 1); greenChannel = rgbImage(:, :, 2); blueChannel = rgbImage(:, :, 3);
  1 Kommentar
Image Analyst
Image Analyst am 27 Mär. 2021
Attach your image. There's a good possibility you're cheking the value using the x,y from the cursor in imtool as redChannel(x,y), which would be incorrect. Remember y is row, not x, so it needs to be redChannel(y, x), NOT redChannel(x, y);

Melden Sie sich an, um zu kommentieren.

Kategorien

Mehr zu Image Processing and Computer Vision finden Sie in Help Center und File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by