Nonlinear Resistive Grid Wavelet Transformations for Texture Feature Extraction.

摘要

This report describes an analog method to extract gray-scale texture features. This method uses a nonlinear resistive grid to perform a two-dimensional pseudowavelet transform of the initial input image. Texture features are computed using first- and second- order variance estimates of the transform coefficients. Some preliminary results are presented indicating the natural segmentation that the nonlinearity provides at the boundary of two dissimilar textures. Nonlinear Resistive Grid, Wavelet Transformation, Texture Feature Extraction, Two-Dimensional Pseudowavelet Transform.