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English(EN) Digital measurement of droplet flame diameter in microgravity combustion images using Segment Anything Model 2 with automatic prompt selection

AI模型增强微重力燃烧火焰直径测量

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种新的AI驱动方法，用于精确测量微重力燃烧图像中液滴火焰的直径。该方法集成了Segment Anything Model 2 (SAM2) 和自动提示选择以及基于RANSAC的圆拟合，以克服烟灰尾迹和模糊边界等影响手动测量的挑战。该系统在与手动测量的高度一致性方面表现出色，实现了96.9%的相对一致性和3.1%的平均绝对百分比误差，同时还提供了比手动方法显著的效率提升。 AI

影响 能够实现燃烧研究中更精确、更高效的定量分析，可能加速诊断。

排序理由 详细介绍新方法及其验证的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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AI模型增强微重力燃烧火焰直径测量

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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Minghui Xu, Chaoyi Zhou, Aaron P. Cecil, Xi Liu, Siyu Huang, Yuhao Xu ·

    使用Segment Anything Model 2和自动提示选择对微重力燃烧图像中的液滴火焰直径进行数字测量

    arXiv:2607.16587v1 Announce Type: new Abstract: Flame diameter is a key measurable parameter in microgravity droplet combustion, but its extraction from self-illuminated frames remains difficult because soot tails, blurred luminous boundaries, chamber reflections, and droplet dri…

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