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

页码：470 / 477

页数：8