Feature extraction and recognition of wood micrograph based on FFT and ICA.
Yiming Fang, Zheng HongPing, Hailin Feng · 2010
Wood recognition plays an important role in wood science and industry.A new method for wood micrograph feature extraction and wood recognition is proposed.The fast Fourier transform (FFT) is firstly used to get power spectrum of wood micrograph,then the independent component analysis algorithm is performed to extract feature which is the coefficient of wood micrograph projecting to the independent components.Finally the wood can be recognized by classifying the coefficients using support vector machines.A small sample experiment using 200 wood micrographs indicates a high recognition rate and effectiveness of the method.