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Texture classification using autoregressive filteringA general theory of image texture models is proposed and its applicability to the problem of scene segmentation using texture classification is discussed. An algorithm, based on half-plane autoregressive filtering, which optimally utilizes second order statistics to discriminate between texture classes represented by arbitrary wide sense stationary random fields is described. Empirical results of applying this algorithm to natural and sysnthesized scenes are presented and future research is outlined.
Document ID
19850007945
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Lawton, W. M.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Lee, M.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 12, 2013
Publication Date
January 1, 1984
Publication Information
Publication: Texas A and M Univ. Proc. of the 2nd Ann. Symp. on Math. Pattern Recognition and Image Analysis Program
Subject Category
Numerical Analysis
Accession Number
85N16254
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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