Statistical texture characterization from discrete wavelet representations
Gert van de Wouwer, Paul Scheunders, Dirk Van Dyck · IEEE Transactions on Image Processing · 1999
We conjecture that texture can be characterized by the statistics of the wavelet detail coefficients and therefore introduce two feature sets: (1) the wavelet histogram signatures which capture all first order statistics using a model based approach and (2) the wavelet co-occurrence signatures, which reflect the coefficients' second-order statistics. The introduced feature sets outperform the traditionally used energy. Best performance is achieved by combining histogram and co-occurrence signatures.