Width-Constrained Region Labeling Algorithm
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The width-constrained region labeling algorithm processes input binary images by performing connected component analysis with predefined width limitations. The implementation utilizes an efficient scanning approach that automatically detects and merges adjacent regions during the labeling process, employing either 4-connected or 8-connected neighborhood checking to accurately identify distinct image regions. The algorithm incorporates width-based morphological operations, where the specified width parameter controls thinning procedures to enhance boundary definition and separation accuracy. Key functions include region adjacency tracking, width threshold validation, and iterative refinement cycles that ensure clear and precise labeling results through optimized pixel connectivity analysis and morphological filtering.
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