Semi-Supervised Image Segmentation Algorithm Based on Region Fusion
A semi-supervised image segmentation algorithm based on region fusion. The algorithm begins with manual initialization of foreground and background segmentation markers, then iteratively performs region fusion operations to identify regions with maximum similarity, ultimately achieving accurate object segmentation. Key implementation aspects include similarity metric computation and hierarchical region merging strategies.