Coarseness-entropy based Gaussian Mixture Model for SOFC image segmentation

Abstract

For the three-phase identification of Solid Oxide Fuel Cell (SOFC) electrode, this paper presents a novel segmentation method based on Gaussian Mixture Model (GMM). A coarseness-entropy adaptive factor is defined to incorporate the spatial information based on Markov Random Filed (MRF) into GMM. Furthermore the proposed method defines can control the trade… (More)

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