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Start Over Search Limiters Peer Reviewed Topic algorithms Topic image segmentation Publication Year Range Last 10 years Journal international journal of wavelets, multiresolution & information processing Publisher world scientific publishing company

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1. A novel multi-level image segmentation algorithm via random opposition learning-based Aquila optimizer.

Author

Cai, Jia, Luo, Tianhua, Xiong, Zhilong, and Tang, Yi

Subjects
*IMAGE segmentation, *ALGORITHMS, *MATHEMATICAL optimization
Abstract

Aquila optimizer (AO) is an efficient meta-heuristic optimization method, which mimics the hunting style of Aquila in nature. However, the AO algorithm may suffer from immature convergence during the exploitation stage. In this paper, two strategies are elegantly employed into conventional AO, such as random opposition-based learning and nonlinear flexible jumping factor, which can efficiently enhance the performance of conventional AO. Experiments on 1 7 benchmark functions and image segmentation demonstrate the effectiveness of the proposed algorithm. Comparison with several state-of-the-art meta-heuristic optimization techniques indicates the efficacy of the developed method. [ABSTRACT FROM AUTHOR]

Published
2023
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