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A maximum-likelihood approach to image segmentation by texture

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2 Author(s)
Bevington, J. ; Georgia Institute of Technology, Atlanta, Georgia ; Mersereau, R.M.

This paper addresses the problem of segmenting an image by texture. Specifically, we are concerned with estimating the trajectory of the boundary between two regions characterized by different two-dimensional autocorrelation functions. An algorithm is developed which is an approximation to a maximum-likelihood estimator based on the assumption of Gaussian random fields with known mean and covariance. Preliminary experimental results are given.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.  (Volume:9 )

Date of Conference:

Mar 1984

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