separate orange band and violet band from rgb image
1 visualizzazione (ultimi 30 giorni)
Mostra commenti meno recenti
in the context of serparate red , green and blue bands from RGB image
i need to method to separate orange band first and therefore separate violet band from RGB image
0 Commenti
Risposta accettata
Image Analyst
il 4 Nov 2023
There are no "bands" of violet and orange in an RGB image, only a red band, a green band, and a blue band. In fact computers cannot even display violet. They can display purple, but not violet. https://petapixel.com/2017/07/19/photos-may-colors-screens-cant-display/
That said, you can extract orange and purple colors from your image. Simply use the Color Thresholder app on the Apps tab of the tool ribbon. Use HSV color space and then click the Export button to generate the function.
9 Commenti
DGM
il 5 Nov 2023
Modificato: DGM
il 5 Nov 2023
What is your actual goal? I have to ask, because the example you're giving isn't what you say you want. If you isolate the components of a color image, the results aren't color images anymore.
That magenta-ish and yellowish image are just the original image multiplied by [254 0 254] and [254 254 0] -- or at least that's as close as I can back-estimate from a JPG.
If what you want is to do a multiply blend on the image like that, then it's still not really clear why you're asking how to do it, because you clearly have already done it.
Are you asking how to do it with [191 0 255] or some other color instead?
inpict = imread('990uu.png');
FG = [0.6 0.3 1]; % pick a unit-scale tuple
outpict = im2double(inpict).*permute(FG,[1 3 2]);
outpict = im2uint8(outpict);
imshow(outpict,'border','tight')
Più risposte (0)
Vedere anche
Categorie
Scopri di più su Image Processing Toolbox in Help Center e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!