Enhanced Adaptive Segmentation Method
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In this paper, I propose an enhanced adaptive segmentation method. Unlike traditional approaches, this method integrates the threshold derived from Otsu's algorithm as the initial threshold value, enabling faster convergence during the segmentation process while improving computational efficiency and segmentation quality. The implementation typically involves calculating the Otsu threshold using histogram analysis to determine the optimal separation between foreground and background pixels, which then serves as the starting point for adaptive threshold refinement. Additionally, I have conducted extensive experiments and comparative analyses that validate the method's effectiveness and superiority. This enhanced adaptive segmentation approach is expected to provide valuable insights and practical benefits for researchers and engineers working in related fields.
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