A hybrid intelligent approach for image segmentation and feature extraction using fuzzy clustering, lattice Boltzmann and GLDM techniques

Ahmadi, Neda (2020) A hybrid intelligent approach for image segmentation and feature extraction using fuzzy clustering, lattice Boltzmann and GLDM techniques. Journal of Soft Computing and Decision Support Systems, 7(3), pp. 1-5. ISSN (online) 2289-8603

Abstract

In this paper, novel Image Segmentation (IS) and feature extraction approaches based on Fuzzy Clustering (FC) and Lattice Boltzmann (LB) methods for segmentation step and Grey Level Difference Method (GLDM) method for feature extraction step are proposed. From the experimental results, the performance of our proposed method superior in terms of effectiveness and speed.

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