A Novel Performance Metric For Grey-Scale Edge Detection

D 2010

A Novel Performance Metric For Grey-Scale Edge Detection

WILLIAMS, Ian, David SVOBODA and Nicholas BOWRING

Basic information

Original name

A Novel Performance Metric For Grey-Scale Edge Detection

Authors

WILLIAMS, Ian (826 United Kingdom of Great Britain and Northern Ireland), David SVOBODA (203 Czech Republic, guarantor, belonging to the institution) and Nicholas BOWRING (826 United Kingdom of Great Britain and Northern Ireland)

Edition

Vol. 1. Portugal, Proceedings of the International Conference on Computer Vision Theory and Applications, p. 91-97, 7 pp. 2010

Publisher

Institute for Systems and Technologies of Information, Control and Communication

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

20200 2.2 Electrical engineering, Electronic engineering, Information engineering

Country of publisher

France

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

RIV identification code

RIV/00216224:14330/10:00045037

Organization unit

Faculty of Informatics

ISBN

978-989-674-028-3

Keywords in English

Edge Detection; Figure of Merit; PCM

Abstract

V originále

This paper will discuss grey-scale edge detection evaluation techniques. It will introduce three of the most common edge comparison methods and assess their suitability for grey-scale edge detection evaluation. This suitability evaluation will include Pratt's Figure Of Merit (FOM), Bowyer's Closest Distance Metric (CDM), and Prieto and Allen's Pixel Correspondence Metric. The relative merits of each method will be discussed alongside the inconsistencies inherent to each technique. Finally, a novel performance criterion for grey-scale edge comparison, the Grey-scale Figure Of Merit (GFOM) will be introduced which overcomes some of the evaluation faults discussed. Furthermore, a new technique for assessing the relative connectivity of detected edges will be described and evaluated. Overall this will allow a robust and objective method of gauging edge detector performance.

Links

1K05021, research and development project

Name: Rekonstrukce objektů v biomedicínských obrazech pomocí statistických metod a metod umělé inteligence

Investor: Ministry of Education, Youth and Sports of the CR, Rekonstrukce objektů v biomedicínských obrazech pomocí statistických metod a metod umělé inteligence

Citovat

WILLIAMS, Ian, David SVOBODA and Nicholas BOWRING. A Novel Performance Metric For Grey-Scale Edge Detection. In Proceedings of the International Conference on Computer Vision Theory and Applications. Vol. 1. Portugal: Institute for Systems and Technologies of Information, Control and Communication, 2010, p. 91-97. ISBN 978-989-674-028-3.

@inproceedings{902228,
   author = {Williams, Ian and Svoboda, David and Bowring, Nicholas},
   address = {Portugal},
   booktitle = {Proceedings of the International Conference on Computer Vision Theory and Applications},
   edition = {Vol. 1},
   keywords = {Edge Detection; Figure of Merit; PCM},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Portugal},
   isbn = {978-989-674-028-3},
   pages = {91-97},
   publisher = {Institute for Systems and Technologies of Information, Control and Communication},
   title = {A Novel Performance Metric For Grey-Scale Edge Detection},
   year = {2010}
}

TY  - JOUR
ID  - 902228
AU  - Williams, Ian - Svoboda, David - Bowring, Nicholas
PY  - 2010
TI  - A Novel Performance Metric For Grey-Scale Edge Detection
PB  - Institute for Systems and Technologies of Information, Control and Communication
CY  - Portugal
SN  - 9789896740283
KW  - Edge Detection
KW  - Figure of Merit
KW  - PCM
N2  - This paper will discuss grey-scale edge detection evaluation techniques. It will introduce three of the most common edge comparison methods and assess their suitability for grey-scale edge detection evaluation. This suitability evaluation will include Pratt's Figure Of Merit (FOM), Bowyer's Closest Distance Metric (CDM), and Prieto and Allen's Pixel Correspondence Metric. The relative merits of each method will be discussed alongside the inconsistencies inherent to each technique. Finally, a novel performance criterion for grey-scale edge comparison, the Grey-scale Figure Of Merit (GFOM) will be introduced which overcomes some of the evaluation faults discussed. Furthermore, a new technique for assessing the relative connectivity of detected edges will be described and evaluated. Overall this will allow a robust and objective method of gauging edge detector performance.
ER  -

WILLIAMS, Ian, David SVOBODA and Nicholas BOWRING. A Novel Performance Metric For Grey-Scale Edge Detection. In \textit{Proceedings of the International Conference on Computer Vision Theory and Applications}. Vol. 1. Portugal: Institute for Systems and Technologies of Information, Control and Communication, 2010, p.~91-97. ISBN~978-989-674-028-3.

Detailed Information on Publication Record