Journal of Northwest Forestry University, Volume. 40, Issue 4, 85(2025)

Improved Black-winged Kite Algorithm for Non-uniform Forest Canopy Image Enhancement

ZHAO Xiaohan, ZHU Liangkuan*, WANG Jingyu, and ALAA M.E. Mohamed
Author Affiliations
  • (College of Computer and Control Engineering, Northeast Forestry University, Harbin 150040, Heilongjiang, China
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    Aiming at the defects of under-enhancement over-enhancement and detail loss of traditional image enhancement methods in processing non-uniform forest canopy images a forest canopy image enhancement method based on improved black-winged kite optimization algorithm IBKA is proposed Local contrast increases the difference between light and dark in the image global adaptive Gamma correction equalizes the brightness between light and dark the Gaussian blurring process enriches the details in the image inverted exploration optimization strategy and avoidance behaviors in migration improve the exploration ability of the black-winged kite algorithm and the ability to jump out of the local optimal solution The enhancement method uses IBKA to find the optimal parameter for adaptive image enhancement The proposed method outperforms the comparison algorithms in entropy value and FSIM in forest canopy image enhancement while obtaining a moderate average gradient and pixel mean It is shown that the proposed method comprehensively improves the quality of non-uniform forest canopy images

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    ZHAO Xiaohan, ZHU Liangkuan, WANG Jingyu, ALAA M.E. Mohamed. Improved Black-winged Kite Algorithm for Non-uniform Forest Canopy Image Enhancement[J]. Journal of Northwest Forestry University, 2025, 40(4): 85

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    Paper Information

    Received: Nov. 8, 2024

    Accepted: Sep. 12, 2025

    Published Online: Sep. 12, 2025

    The Author Email: ZHU Liangkuan (zhulk@126.com)

    DOI:10.3969/j.issn.1001-7461.2025.04.10

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