A Novel Performance Metric For Grey-Scale Edge Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F10%3A00045037" target="_blank" >RIV/00216224:14330/10:00045037 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Novel Performance Metric For Grey-Scale Edge Detection
Original language description
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 willbe described and evaluated. Overall this will allow a robust and objective method of gauging edge detector performance.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1K05021" target="_blank" >1K05021: Reconstruction of objects from biomedical images using statistic methods and artificial intelligence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the International Conference on Computer Vision Theory and Applications
ISBN
978-989-674-028-3
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
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Publisher name
Institute for Systems and Technologies of Information, Control and Communication
Place of publication
Portugal
Event location
Angers, France
Event date
May 17, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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