title: Statistical texture characterization from discrete wavelet representations.
abstract: 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.
authors.forename: G
authors.initials: G
authors.lastname: Van de Wouwer
authors.forename: P
authors.initials: P
authors.lastname: Scheunders
authors.forename: D
authors.initials: D
authors.lastname: Van Dyck