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arXiv · 1708.08180

An Optimized Union-Find Algorithm for Connected Components Labeling Using GPUs

Jun Chen·Qiang Yao·Houari Sabirin·Keisuke Nonaka·Hiroshi Sankoh·Sei Naito
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Abstract

In this paper, we report an optimized union-find (UF) algorithm that can label the connected components on a 2D image efficiently by employing the GPU architecture. The proposed method contains three phases: UF-based local merge, boundary analysis, and link. The coarse labeling in local merge reduces the number atomic operations, while the boundary analysis only manages the pixels on the boundary of each block. Evaluation results showed that the proposed algorithm speed up the average running time by more than 1.3X.

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Jun Chen, Qiang Yao, Houari Sabirin, Keisuke Nonaka, Hiroshi Sankoh, Sei Naito. 2017-08-28. An Optimized Union-Find Algorithm for Connected Components Labeling Using GPUs. https://arxiv.org/abs/1708.08180

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