Parallel watershed partitioning: GPU-based hierarchical image segmentation

doi:10.1016/j.jpdc.2025.105140

Parallel watershed partitioning: GPU-based hierarchical image segmentation

2025-06-27

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DOI：10.1016/j.jpdc.2025.105140

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Abstract

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• Three parallel watershed algorithms for execution on GPUs, offering significant speedup over existing approaches. • Introduction of intermediate GPU algorithmic steps to generate hierarchical segmentations through the waterfall transform. • Applications of the proposed approaches in deep-learning pipelines, contributing to speedup and/or accuracy improvement.

Keywords:

Watershed transform

GPU acceleration

Waterfall transform

Path reduction

Parallel union–find

Real-time image segmentation

Parallel watershed partitioning: GPU-based hierarchical image segmentation

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