Texture classification using a spatial-point process model

L. M. Linnett, D. R. Carmichael, S. J. Clarke

Research output: Contribution to journalArticle

Abstract

A Bayesian statistical classifier for the segmentation of texture is presented, which models the quantised image data as a set of independent spatial Poisson processes. Two data sets are examined, namely Gaussian white noise textures, and textures contained in a sidescan sonar image of the seabed. The Poisson model is demonstrated to be applicable in both these cases, and a maximum likelihood discriminant function is developed. Finally, results are presented for the classification of both data sets.

Original languageEnglish
Pages (from-to)1-6
Number of pages6
JournalIEE Proceedings: Vision, Image and Signal Processing
Volume142
Issue number1
DOIs
Publication statusPublished - Feb 1995

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