A maximum-likelihood approach to image segmentation by texture
James E. Bevington, R. Mersereau · 2005
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.