Fast probabilistic snake algorithm
arXiv:2411.09137v13 citationsh-index: 19Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)
Originality Synthesis-oriented
AI Analysis
This work addresses image segmentation for applications requiring efficient and adaptable contour detection, but it appears incremental as it builds on prior research.
The authors tackled image segmentation by developing a fast and accurate active contour algorithm using a probability approach, achieving high accuracy in contour description.
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.