Multi-level thresholding-based grey scale image segmentation using multi-objective multi-verse optimizer
Abstract: Highlights•We propose a multi-objective version of the Multiverse Optimizer (MOMVO).•The problem of image thresholding is solved by a multi-objective algorithm.•The Otsu and Kapur’s methods are combined in a multi-objective problem.•The MOMVO is tested over different images for thresholding.•Comparisons support the performance of the proposed MOMVO.
External IDs:dblp:journals/eswa/ElazizOEX19
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