A framework to select edge detection method using multi-criteria decision making

Sidra Naeem; Sajid Siraj

doi:10.1109/SMC.2013.129

A framework to select edge detection method using multi-criteria decision making

Sidra Naeem, Sajid Siraj

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)

399 Downloads (Pure)

Abstract

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. collapse

Original language	English
Title of host publication	2013 IEEE international conference on Systems, man, and cybernetics
Subtitle of host publication	SMC 2013
Place of Publication	Picataway
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	730-735
Number of pages	6
ISBN (Print)	978076955548
DOIs	https://doi.org/10.1109/SMC.2013.129
Publication status	Published - 2013
Event	2013 IEEE International Conference on Systems, Man and Cybernetics - Manchester, United Kingdom Duration: 13 Oct 2013 → 16 Oct 2013

Conference

Conference	2013 IEEE International Conference on Systems, Man and Cybernetics
Abbreviated title	SMC 2013
Country/Territory	United Kingdom
City	Manchester
Period	13/10/13 → 16/10/13

Keywords

Edge detection,
boundary,
filters

Access to Document

10.1109/SMC.2013.129

SIRAJ_2013_cright_IEEE_A Framework to Select Edge Detection Method Using Multi-criteria Decision Making
http://www.ieee.org/publications_standards/publications/rights/copyrightpolicy.html
Submitted manuscript, 9.89 MB

http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6721882

Cite this

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title = "A framework to select edge detection method using multi-criteria decision making",

abstract = "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. collapse",

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author = "Sidra Naeem and Sajid Siraj",

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Naeem, S & Siraj, S 2013, A framework to select edge detection method using multi-criteria decision making. in 2013 IEEE international conference on Systems, man, and cybernetics: SMC 2013. Institute of Electrical and Electronics Engineers Inc., Picataway, pp. 730-735, 2013 IEEE International Conference on Systems, Man and Cybernetics, Manchester, United Kingdom, 13/10/13. https://doi.org/10.1109/SMC.2013.129

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AU - Siraj, Sajid

PY - 2013

Y1 - 2013

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AB - 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. collapse

KW - Edge detection,

KW - boundary,

KW - filters

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M3 - Chapter (peer-reviewed)

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BT - 2013 IEEE international conference on Systems, man, and cybernetics

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T2 - 2013 IEEE International Conference on Systems, Man and Cybernetics

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ER -

A framework to select edge detection method using multi-criteria decision making

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Keywords

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