A Novel Performance Metric For Grey-Scale Edge Detection

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Publikace nespadá pod Fakultu sportovních studií, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.
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WILLIAMS Ian SVOBODA David BOWRING Nicholas

Rok publikování 2010
Druh Článek ve sborníku
Konference Proceedings of the International Conference on Computer Vision Theory and Applications
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
Obor Využití počítačů, robotika a její aplikace
Klíčová slova Edge Detection; Figure of Merit; PCM
Popis 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.
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