A gravitational approach to edge detection based on triangular norms

被引：87

作者：

Lopez-Molina, C. ^{[1
]}

Bustince, H. ^{[1
]}

Fernandez, J. ^{[1
]}

Couto, P. ^{[2
]}

De Baets, B. ^{[3
]}

机构：

[1] Univ Publ Navarra, Dpto Automat & Computac, Pamplona 31006, Spain

[2] Univ Tras Os Montes & Alto Douro, CITAB, P-5000911 Vila Real, Portugal

[3] Univ Ghent, Dept Appl Math Biometr & Proc Control, B-9000 Ghent, Belgium

来源：

PATTERN RECOGNITION | 2010年 / 43卷 / 11期

关键词：

Triangular norm; Edge detection; Image processing; FUZZY MATHEMATICAL MORPHOLOGY; HYSTERESIS THRESHOLDS; FUNDAMENTALS; SELECTION;

D O I：

10.1016/j.patcog.2010.05.035

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We study the method of Sun et al. for edge detection based on the Law of Universal Gravity. We analyze the effect of the substitution of the product operation by other triangular norms in the calculation of the gravitational forces. We treat edges as fuzzy sets for which membership degrees are extracted from the resulting gravitational force on each pixel. We consider several prototypical triangular norms and experimentally show that their features determine the kind of edges detected. The new method is tested on the Berkeley Segmentation Dataset, showing to be competitive compared to the Canny method. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：3730 / 3741

页数：12

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