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English(EN) TRUCO: A Scalable Lock-Free Algorithm for Parallel Contour Extraction

新的TRUCO算法为轮廓提取提供数量级的加速

一种名为TRUCO的新算法已被开发用于并行轮廓提取,旨在克服Suzuki-Abe等顺序方法的局限性。TRUCO采用无锁方法,结合推测性跟踪和所有权规则,确保每个轮廓只处理一次。实验表明,TRUCO实现了显著的加速,比现有方法快一个数量级以上,并在各种硬件上对高分辨率图像展现出强大的可扩展性。 AI

影响 该算法可以显著加速依赖于从分割掩码中提取轮廓的计算机视觉管道。

排序理由 详细介绍新算法的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的TRUCO算法为轮廓提取提供数量级的加速

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详细介绍新算法的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Rafael Munoz-Salinas, Francisco J. Romero-Ramirez, Manuel J. Marin-Jimenez ·

    TRUCO:一种可扩展的无锁并行轮廓提取算法

    arXiv:2610.37297v1 Announce Type: new Abstract: Transforming binary masks into geometric contours remains a critical step in many computer vision pipelines, particularly for post-processing high-resolution segmentation outputs. Yet, standard algorithms such as the Suzuki-Abe meth…