Comparison of three rough surface classifiers

G. McGunnigle, M. J. Chantler

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Texture analysis techniques are used to segment rough surfaces into regions of homogeneous texture. The performance of three rough surface classifiers was assessed and compared. The classifiers differ in their discrimination as well as in their input and computational requirements. Simulation and experiment were used to identify the limitations of the classifiers and to identify which classifier is best suited to a particular task. A series of guidelines for the choice of classifier is presented and justified.

Original languageEnglish
Pages (from-to)263-271
Number of pages9
JournalIEE Proceedings: Vision, Image and Signal Processing
Volume149
Issue number5
DOIs
Publication statusPublished - Oct 2002

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