Segmentation of SAR images using improved artificial bee colony algorithm and neutrosophic set

Abstract

This paper proposes a novel synthetic aperture radar (SAR) image segmentation algorithm based on the neutrosophic set (NS) and improved artificial bee colony (I-ABC) algorithm. In this algorithm, threshold value estimation is considered as a search procedure that searches for a proper value in a grayscale interval. Therefore, I-ABC optimization algorithm is… (More)
DOI: 10.1016/j.asoc.2014.04.008

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