loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Ian Williams 1 ; David Svoboda 2 and Nicholas Bowring 3

Affiliations: 1 Birmingham City University, United Kingdom ; 2 Masaryk university, Czech Republic ; 3 Manchester Metropolitan University, United Kingdom

ISBN: 978-989-674-028-3

Keyword(s): Edge detection, Grey-scale measure, Performance measure, Connectivity, Figure of merit.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Feature Extraction ; Features Extraction ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Image and Video Analysis ; Image Filtering ; Image Formation and Preprocessing ; Informatics in Control, Automation and Robotics ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing, Sensors, Systems Modeling and Control ; Soft Computing ; Statistical Approach

Abstract: 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.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.228.21.186

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Williams I.; Svoboda D.; Bowring N. and (2010). A NOVEL PERFORMANCE METRIC FOR GREY-SCALE EDGE DETECTION.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 91-97. DOI: 10.5220/0002821700910097

@conference{visapp10,
author={Ian Williams and David Svoboda and Nicholas Bowring},
title={A NOVEL PERFORMANCE METRIC FOR GREY-SCALE EDGE DETECTION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={91-97},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002821700910097},
isbn={978-989-674-028-3},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - A NOVEL PERFORMANCE METRIC FOR GREY-SCALE EDGE DETECTION
SN - 978-989-674-028-3
AU - Williams, I.
AU - Svoboda, D.
AU - Bowring, N.
PY - 2010
SP - 91
EP - 97
DO - 10.5220/0002821700910097

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.