A multichannel watershed-based algorithm for supervised texture segmentation

被引：26

作者：

Malpica, N ^{[1
]}

Ortuño, JE ^{[1
]}

Santos, A ^{[1
]}

机构：

[1] Univ Politecn Madrid, Dept Ingn Elect, E-28040 Madrid, Spain

来源：

PATTERN RECOGNITION LETTERS | 2003年 / 24卷 / 9-10期

关键词：

texture segmentation; watershed algorithm; multichannel information;

D O I：

10.1016/S0167-8655(02)00393-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Segmentation of image regions based on their texture is a standard problem in image analysis. Once a set of texture features is selected, several algorithms can be applied to segment the image into regions. This paper presents an extension of the watershed algorithm using a vector gradient and multivariate region merging methods. The algorithm uses a set of texture images, and it only depends on an adjustable parameter. Results are presented on a standard set of synthetic images and on textured medical ones, using different texture parameters and merging criteria. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：1545 / 1554

页数：10

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