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Power spectral ensity of markov texture fieldsTexture is an important image characteristic. A variety of spatial domain techniques were proposed for extracting and utilizing textural features for segmenting and classifying images. for the most part, these spatial domain techniques are ad hos in nature. A markov random field model for image texture is discussed. A frequency domain description of image texture is derived in terms of the power spectral density. This model is used for designing optimum frequency domain filters for enhancing, restoring and segmenting images based on their textural properties.
Document ID
19850007953
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Shanmugan, K. S.
(Kansas Univ. Lawrence, KS, United States)
Holtzman, J. C.
(Kansas Univ. Lawrence, KS, 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
Statistics And Probability
Accession Number
85N16262
Funding Number(s)
CONTRACT_GRANT: NAS9-16664
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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