Enhanced Chaos Game Optimization for Multilevel Image Thresholding through Fitness Distance Balance Mechanism
Achraf Ben Miled,
Mohammed Ahmed Elhossiny,
Marwa Anwar Ibrahim Elghazawy
et al.
Abstract:This study proposes a method to enhance the Chaos Game Optimization (CGO) algorithm for efficient multilevel image thresholding by incorporating a fitness distance balance mechanism. Multilevel thresholding is essential for detailed image segmentation in digital image processing, particularly in environments with complex image characteristics. This improved CGO algorithm adopts a hybrid metaheuristic framework that effectively addresses the challenges of premature convergence and the exploration-exploitation b… Show more
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