Combination of a 2D-RCA model and ANNs for texture image segmentation
by Assia Ayache; Soumia Kharfouchi; Fouad Rahmani
International Journal of Computing Science and Mathematics (IJCSM), Vol. 15, No. 3, 2022

Abstract: In this paper, a region growing technique is used to achieve image segmentation by merging some starting points or internal small areas if they are homogeneous according to a measurement of a local region property. A 2D random coefficients autoregressive model (2D RCA) is fitted. First, an estimation procedure using a generalised method of moments (GMM) technique is proposed to extract some local region properties. For this, a gradient-based neural network (GNN) is used to estimate the 2D RCA model parameters from a given texture. The cost function of the proposed GNN is based on a strong matching of the statistical moments of the corresponding 2D-RCA model and the sample moments of population image data. Experimental results demonstrate the effectiveness and the relevance of the proposed method.

Online publication date: Mon, 08-Aug-2022

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