Scale-dependent hierarchical unsupervised segmentation of textured images

被引：5

作者：

Bandera, A ^{[1
]}

Urdiales, C ^{[1
]}

Arrebola, F ^{[1
]}

Sandoval, F ^{[1
]}

机构：

[1] Univ Malaga, ETSI Telecomun, Dept Tecnol Elect, E-29071 Malaga, Spain

来源：

PATTERN RECOGNITION LETTERS | 2001年 / 22卷 / 02期

关键词：

texture; hierarchical segmentation; scale-dependent pyramid stabilisation; unsupervised class fusion;

D O I：

10.1016/S0167-8655(00)00103-3

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a new three-staged texture-based segmentation method that, using multiresolution techniques, provides high computational speed. The main novelty of the approach is that spatial proximity has a progressively decreasing importance on lower resolution levels when hierarchically segmenting the data structure. The method achieves low error rates and it does not require any knowledge about the number of textures in the image. (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：171 / 181

页数：11

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