文档介绍：Texture Image Segmentation Method Based on
Wavelet Transform and works
Jing Zhang Shunichiro Oe
Information Science & Intelligent Systems
University of Tokushima, Japan
2-1. Minami-Josaniima. Tokushima. 770-8506 JaDan
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ABSTRACT texture features can be divided into statistical and
structural methods. Structural methods describe
This paper presents an effective texture image seg- textures in terms of texture primitives and spatial
mentation algorithm by using wavelet position relationships among them. Now puta-
and band-pass works. This approach is ap- tional methods have been proposed and applied to
plied to segment an random texture image into sev- extract texture feature. Commonly used texture fea-
eral homogeneous areas. The basic idea of proposed tures include Fourier domain energy, co-occurrence
method is first posing an original image into matrices, texture energy measures, Markov random
several filtered images which contain information in field models, second-order gray level statistics, two-
different orientation and frequency ranges, and these dimensional autoregressive model and fractal dimen-
filtered images are of the same size as the origi- sion etc.[l]. But in most early work, the texture
nal images. Then the zero-crossing transformation features are almost analyzed in a