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This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: All of the source code of this paper is publicly available at. Received: MaAccepted: ApPublished: May 5, 2023Ĭopyright: © 2023 Wang et al. PLoS ONE 18(5):Įditor: Diego Oliva, Universidad de Guadalajara, MEXICO Ĭitation: Wang Z, Mo Y, Cui M, Hu J, Lyu Y (2023) An improved golden jackal optimization for multilevel thresholding image segmentation. Noteworthy, the source code of HGJO is publicly available at. Finally, all of the algorithms are applied to the experiments of variable threshold segmentation of aerial images, and the results show that the aerial photography images segmented by HGJO beat the others. The experimental results show that HGJO is able to achieve competitive results in the benchmark test set. the HGJO is compared with the original GJO and five classical meta-heuristics. To demonstrate the effectiveness of the proposed algorithm, we use the CEC2022 benchmark function test suite to perform comparison experiments. Finally, a novel “helper mechanism” is designed to improve the performance for escape the local optima.

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In addition, the Cauchy distribution is introduced to adjust the original update scheme to enhance the exploration capability of the algorithm. And a new approach to calculate the prey escape energy is proposed to improve the convergence speed of the algorithm. The proposed method uses opposition-based learning to boost population diversity.

In this paper, we propose an improved version of Golden Jackal Optimization, which is dubbed Helper Mechanism Based Golden Jackal Optimization (HGJO), to apply multilevel threshold segmentation to aerial images.

Therefore, effective segmentation of aerial images can further enhance the feature information and reduce the computational difficulty for subsequent image processing. However, aerial photography images generally have certain chromatic aberration and color distortion. Aerial photography is a long-range, non-contact method of target detection technology that enables qualitative or quantitative analysis of the target.

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