Simplified Texture Unit:: A new descriptor of the local texture in gray-level images

被引:0
|
作者
Madrid-Cuevas, FJ [1 ]
Carnicer, RM [1 ]
Villegas, MP [1 ]
García, NLF [1 ]
Poyato, AC [1 ]
机构
[1] Univ Cordoba, Dept Comp & Numer Anal, E-14071 Cordoba, Spain
来源
PATTERN RECOGNITION AND IMAGE ANALYSIS, PROCEEDINGS | 2003年 / 2652卷
关键词
local texture descriptor; feature distribution; unsupervised texture segmentation;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this work we propose a new descriptor of the local texture in gray-level images, named Simplified Texture Unit (STU). This descriptor is a version, with a smaller computational cost as much in its obtaining as in its later use, of the well-known Texture Unit descriptor (TU) [6]. We have carried out a comparative study of the capacity to describe the texture of a region. with the capacity provided by the TU descriptor and two other versions of the same one, known as Local Binary Pattern (LBP) and Local Binary Pattern with Contrast (LBP/C) [11]. The results of the experiment allow to affirm that the new descriptor has a greater performance with small region sizes, what makes it suitable for unsupervised texture segmentation since it could allow a greater accuracy in the localization of the frontiers between textured regions.
引用
收藏
页码:470 / 477
页数:8
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