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In this paper, texture characterisation is attempted by two-dimensional autoregressive (AR) modelling, which is achieved by using a proposed constrained optimisation technique followed by the application of the k-means algorithm. The constrained optimisation formulation relates both second and third-order statistical parameters of the image with the AR model formulation. The k-means algorithm is applied to sets of AR model coefficients obtained by the proposed method in block-by-block process. A weighting scheme is then used to calculate the final estimated AR model coefficients.
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on (Volume:2 )
Date of Conference: 9-12 Nov. 2003