I am trying to use the functions provided in the Matlab Wavelet Toolbox to create a multi-level discrete wavelet decomposition of an image, extracting the coefficients, manipulating them, and recomposing them back into the image. I tried using a number of functions but none of them seem to do what...

let us consider following code taken from http://www.mathworks.com/matlabcentral/fileexchange/45848-stockwell-transform--s-transform-/content/stran.m to compute S transform, here is my code function ST=stran(h) % Compute S-Transform without for loops %%% Coded by Kalyan S. Dash %%% %%% IIT Bhubaneswar, India %%% [~,N]=size(h); % h is a 1xN one-dimensional series nhaf=fix(N/2); odvn=1; if nhaf*2==N; odvn=0; end...

let us consider following Page : http://djj.ee.ntu.edu.tw/S_Transform.pdf paragraph 2.3 The Discrete S Transform let say that we have sampled version of signal x, and given sampling frequency fs,i have calculated discrete Fourier transform using following code function y=DFT(x); N=length(x); D=zeros(N,N); for k=1:N for n=1: N D(k,n)=exp((-j*(k-1)*2*pi*(n-1))/N); end end y=D*x'/N; end...

We tried Local Histogram approach for wound segmentation which didn't work well for all kinds of images and then we taught to use Wavelet transform for wound segmentation. Which Wavelet transform will be good for wound segmentation and some tips to implement it ?? Is there any better way than...