Texture segmentation using hierarchical wavelet decomposition

Abstract

Texture segmentation deals with identification of regions where distinct textures exist. In this paper, a new scheme for texture segmentation using hierarchical wavelet decomposition is proposed. In the first step, using Daubechies' 4-tap filter, an original image is decomposed into three detailed images and one approximate image. The decomposition can be recursively applied to the approximate image to generate a lower resolution of the pyramid. The segmentation starts at the lowest resolution using the K-means clustering scheme and the result is propagated through the pyramid to a higher one with continuously improving segmentation.