A novel performance metric for grey-scale edge detection

Williams, Ian and Svoboda, D. and Bowring, N. (2010) A novel performance metric for grey-scale edge detection. In: 5th International Conference on Computer Vision Theory and Applications, VISAPP 2010, 17 May 2010 through 21 May 2010, Angersn France.

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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.

Item Type:	Conference or Workshop Item (Paper)
Dates:	Date Event 2010 Published
Uncontrolled Keywords:	Connectivity, Edge detection, Figure of merit, Grey-scale measure, Performance measure, Closest distance, Connectivity, Edge comparison, Edge detection evaluation, Edge detectors, Figure of merit, Grey-scale measure, Objective methods, Performance criterion, Performance measure, Performance metrices, Suitability evaluation, Computer vision, Edge detection, Detectors
Subjects:	CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science
Divisions:	Faculty of Computing, Engineering and the Built Environment Faculty of Computing, Engineering and the Built Environment > College of Computing
Depositing User:	Yasser Nawaz
Date Deposited:	05 Aug 2016 13:40
Last Modified:	22 Mar 2023 12:02
URI:	https://www.open-access.bcu.ac.uk/id/eprint/2808

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