Open AccessA Comparison of Three Rough Surface Classifiers
Author(s) -
G. McGunnigle,
Mike J. Chantler
Publication year - 2001
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5244/c.15.58
Subject(s) - computer science , artificial intelligence , surface (topology) , pattern recognition (psychology) , mathematics , geometry
In this papertextureanalysistechniquesareusedto segmentroughsurfacesinto regionsof homogeneous texture. Theperformanceof threerough surfaceclassifierswasassessed andcompared.Theclassifiersdiffer in their discriminationaswell astheir inputandcomputational requirements. Experimentswereusedto identify thefailuremodesof theclassifiersandto identify which classifieris bestsuitedto a particulartask. A seriesof guidelinesfor thechoiceof classifierarepresentedandjustified.
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