Problem with colormap using imshow()
17 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Andrea Angella
el 12 de Dic. de 2021
Comentada: Walter Roberson
el 13 de Dic. de 2021
I have a 2048x2048 matrix which has values ranging from 0 to about 8000.
I want to display only the values that are above a threshold (in my case, threshold = 350) while retaining information about the different values above threshold in the colormap. I have tried this:
main_image = 'example1.tif';
A = double(imread(main_image)); % Converts image to matrix of doubles
figure(1)
imshow(A.*(A>350));
colormap(copper)
colorbar
However this is my result:

Hopefully you can see that the image is now "binary", and all values above threshold have exactly the same color in the colormap (in spite their actual pixel value wildly varies between 350 and 8000). How can I avoid this? I want the "hotter" pixels to look clearly different from the "colder" ones.
Thank you very much!
0 comentarios
Respuesta aceptada
Walter Roberson
el 12 de Dic. de 2021
imshow(A.*(A>350), []);
or
imagesc(A.*(A>350))
Remember that your data values have been converted to double precision because you used double(), but imshow() and image() expect double precision values to be in the range 0 to 1 unless you tell it to use a different scaling.
2 comentarios
Walter Roberson
el 13 de Dic. de 2021
Grayscale image display range, specified as a two-element vector. For more information, see the 'DisplayRange' name-value pair argument.
Más respuestas (1)
yanqi liu
el 13 de Dic. de 2021
yes,sir,may be set the max value to replace,such as
clc; clear all; close all;
main_image = 'cameraman.tif';
% Converts image to matrix of doubles
A = double(imread(main_image));
vmax = 229;
A(A > vmax) = vmax;
figure(1)
imagesc(A); axis equal; axis off;
colormap(copper)
colorbar
0 comentarios
Ver también
Categorías
Más información sobre Color and Styling en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!

