Converting RGB Image to Grayscale Intensity on arbitrary Colormap
17 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Matt Gaidica
am 1 Dez. 2021
Kommentiert: Matt Gaidica
am 2 Dez. 2021
We have some thermal videos that have a colorscale presented along the side. I would like to run some thermal analysis on video frame regions. If I extract the colorscale from the video, how could I apply that to the image such that the result would be grayscale based on the intensity of the colorscale?
I have obtained a cmap for the custom scale by reading in that area, taking the mean over each column, resulting in a 1601x3 double, but I don't know how to map that onto a grayscale image as intensity values.
0 Kommentare
Akzeptierte Antwort
Image Analyst
am 2 Dez. 2021
People ask this all the time. So much so that I have a canned demo for it. See attached.
Adapt as needed, like to specify where in the image your image and colorbar are located.
Weitere Antworten (1)
DGM
am 1 Dez. 2021
Bearbeitet: DGM
am 1 Dez. 2021
Something like this might be a start:
% you already found a colormap
cmap = parula(64);
% generate false-color test image
A = imread('cameraman.tif');
Aind = gray2ind(A,size(cmap,1)); % uniform quantization
Afalse = ind2rgb(Aind,cmap); % apply colormap
imshow(Afalse)
% convert back to intensity image
Arecovered = double(rgb2ind(Afalse,cmap))/(size(cmap,1)-1);
figure; imshow(Arecovered)
immse(im2double(A),Arecovered) % not perfect, but pretty good
3 Kommentare
DGM
am 2 Dez. 2021
All you need is the second part. The first part is just generating a falsecolor test image, in concept like the one you already have. Your image would be Afalse, and your colormap should be cmap.
Siehe auch
Kategorien
Mehr zu Red 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!