A Framework to Select Edge Detection Method using Multi-criteria Decision Making

被引:2
作者
Naeem, Sidra [1 ]
Siraj, Sajid [2 ]
机构
[1] COMSATS Inst Informat Technol, Wah Campus, Wah Cantonment, Pakistan
[2] Univ Portsmouth, Portsmouth Business Sch, Portsmouth, Hants, England
来源
2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013) | 2013年
关键词
edge detection; boundary; filters; MORPHOLOGY; ALGORITHM;
D O I
10.1109/SMC.2013.129
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In the fields of computer vision and image processing, edge detection refers to the identification and localization of significant changes in a digital image. This article presents a survey of widely-used edge detection techniques including linear approaches, morpohlogical operations, multi-resolution analysis, and machine learning methods. Since there exists no single method that is applicable in all situations, different methods are deployed for different applications. A hierarchical framework based on multiple criteria has been proposed here that can facilitate the process of selecting the most appropriate edge detection method in a given scenario. Use of the proposed framework has been explained through an example of medical images. Finally, possible areas for further exploration have been highlighted.
引用
收藏
页码:730 / 735
页数:6
相关论文
共 56 条
[1]   A Survey of Particle Swarm Optimization Applications in Electric Power Systems [J].
AlRashidi, M. R. ;
El-Hawary, M. E. .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2009, 13 (04) :913-918
[2]  
[Anonymous], 1993, Decisions with Multiple Objectives
[3]  
[Anonymous], 1995, IEEE INT C NEUR NETW
[4]  
[Anonymous], 2000, Handbook of Medical Imaging
[5]  
[Anonymous], 2002, J TAIWAN NORM UNIV-M
[6]   INTUITIONISTIC FUZZY-SETS [J].
ATANASSOV, KT .
FUZZY SETS AND SYSTEMS, 1986, 20 (01) :87-96
[7]  
Bai XZ, 2007, LECT NOTES ARTIF INT, V4456, P953
[8]   Gaussian-based edge-detection methods - A survey [J].
Basu, M .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2002, 32 (03) :252-260
[9]  
Becerikli Y, 2005, LECT NOTES COMPUT SC, V3512, P943
[10]   AN EDGE-DETECTION TECHNIQUE USING GENETIC ALGORITHM-BASED OPTIMIZATION [J].
BHANDARKAR, SM ;
ZHANG, YQ ;
POTTER, WD .
PATTERN RECOGNITION, 1994, 27 (09) :1159-1180