Extraction of line segments from fuzzy images

被引：6

作者：

Bigand, A

Bouwmans, T

Dubus, JP

机构：

[1] Littoral Univ, Lab ASL, F-62228 Calais, France

[2] Univ Lille 1, Lab ID3, F-59655 Villeneuve Dascq, France

来源：

PATTERN RECOGNITION LETTERS | 2001年 / 22卷 / 13期

关键词：

vision analysis; line segments; boundary detection; fuzzy images;

D O I：

10.1016/S0167-8655(01)00061-7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A new algorithm for fuzzy images (multi-modal scenes, restored images,...) segmentation is presented. This method is based on the cooperation of two fuzzy segmentation techniques, without any prior knowledge and any threshold (location of the edges using a geometrical method and extraction of line segment edges using a clustering method), Experimental results show that this combined algorithm can be applied with success in digital image processing (indoor and outdoor scenes), and without any modification of parameters. (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：1405 / 1418

页数：14

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[3]

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