arXiv:2411.09137eess.IVcs.CV2024-11被引 3
用概率方法改进蛇模型，实现快速高精度图像分割。
Fast probabilistic snake algorithm
- 基于概率理论构建新型主动轮廓模型，借鉴英国与法国团队研究
- 处理速度极快，轮廓描述准确度高，适合实际应用部署
- 算法灵活可扩展，适用于多种特定图像分割场景
很少有人将概率论应用于蛇模型的图像分割。本文提出一种受A. Blake工作及法国P. Réfrégier团队研究启发的概率型主动轮廓算法。该算法在轮廓描述方面兼具极高速度与高度准确性，且易于适配到各类特定应用场景中。
原文摘要 · Abstract (English)
Few people use the probability theory in order to achieve image segmentation with snake models. In this article, we are presenting an active contour algorithm based on a probability approach inspired by A. Blake work and P. R{é}fr{é}gier's team research in France. Our algorithm, both very fast and highly accurate as far as contour description is concerned, is easily adaptable to any specific application.
图像分割蛇模型概率方法
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