Contextual and non-contextual performance evaluation of edge detectors

被引：43

作者：

Nguyen, TB ^{[1
]}

Ziou, D ^{[1
]}

机构：

[1] Univ Sherbrooke, Fac Sci, Dept Math & Informat, Sherbrooke, PQ J1K 2R1, Canada

来源：

PATTERN RECOGNITION LETTERS | 2000年 / 21卷 / 09期

关键词：

edge detection; performance evaluation; detector properties; image characteristics;

D O I：

10.1016/S0167-8655(00)00045-3

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents two new evaluation methods for edge detectors. First is non-contextual and concerns the evaluation of edge detector performance in terms of detection errors. The second contextual method evaluates the performance of edge detectors in the context of image reconstruction. Both methods study the influence of image characteristics and edge detector properties on detector performance. Five detectors are evaluated and the performance is compared. (C) 2000 Published by Elsevier Science B.V. All rights reserved.

引用

页码：805 / 816

页数：12

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