Adaptive region-weighted clustering with Jenks algorithm for underwater object segmentation

Key Points

• Improved precision in underwater object segmentation was achieved, underscoring the effectiveness of the Jenks algorithm.
• The study demonstrates a significant enhancement in segmentation accuracy when using adaptive clustering techniques.
• Analysis tools like pixel classification and feature extraction were pivotal in refining object identification in diverse underwater settings.
• The findings highlight the necessity for advanced object segmentation methods to optimize marine exploration efforts.