You can extract the coefficients at different levels as an obversation with any existing image(s). Would you have a wavelet feature extraction algorithm in mind or a paper you have referred to?
Hi Michael Chan,first of all i thanking you for this usefull code , so in my application(hand vein recognition pattern) i need to use wavelet like feature extraction in order to classify data,so if give me a hand Mr Michael.
Hi Diógenes Diógenes,
Did you run the observeWaveletDecompositionBenchmark_N_levels.m file? As stated in the readme.txt, it is the main executing reference usage file.
For a single decomposition level, set
levelOfDecomposition = 1; % level N = 1
For the inquiries regarding the variables, in image wavelet decomposition, the segments are divided according to the (H)orizontal, (V)ertical, (A)pproximate and (D)iagonal regions.
Usually, the coefficients are represented in the form (in the example of 1 level wavelet decomposition):
I hope that helps.