Matlab Imge Subplot

Subplot


%% Adjust Contrast using Adaptive Histogram Equalization
% This example shows how to adjust the contrast in an image using adaptive
% histogram equalization (CLAHE). Compared to the |histeq| function, which
% operates on an entire image, |adapthisteq| operates on small regions of
% the image.
%%
% Read image into the workspace.
I = imread('pout.tif');
%%
% Adust the contrast of the image using the |adapthisteq| function.
J = adapthisteq(I);
%%
% Display the contrast-adjusted image with its histogram.
figure
subplot(1,2,1)
imshow(J)
subplot(1,2,2)
imhist(J,64)

Comments

Post a Comment

Popular posts from this blog

Matlab: Video

1...................... clear clc info = imaqhwinfo('winvideo') info.DeviceInfo(2) vid = videoinput('winvideo',2) preview(vid) 2...................... set(vid, 'FramesPerTrigger', Inf); set(vid, 'ReturnedColorspace', 'rgb'); start(vid) isrunning(vid) islogging(vid) stop(vid) 2...................... set(vid, 'FramesPerTrigger', Inf); set(vid, 'ReturnedColorspace', 'rgb'); start(vid) isrunning(vid) islogging(vid) vid.FrameGrabInterval = 1; stop(vid) 3...................... set(vid, 'FramesPerTrigger', Inf); set(vid, 'ReturnedColorspace', 'rgb'); start(vid) isrunning(vid) islogging(vid) vid.FrameGrabInterval = 1; vid.FramesAcquired stop(vid)
Read more

Matlab: String

str = int2str(N) path = 'C:\Users\Documents\MATLAB\image_'; i = 1; path = strcat(path,int2str(i),'.jpg'); path result: C:\Users\mvish\Documents\MATLAB\image_1.jpg -------------------------- path = 'C:\Users\Documents\MATLAB\image_'; int32 i=0; for z=1:10     i=i+1;     value = strcat(path,int2str(i),'.jpg');     display(value);     end
Read more