On active contour models and balloons
CVGIP: Image Understanding
A fast algorithm for active contours and curvature estimation
CVGIP: Image Understanding
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Deformable Contours: Modeling and Extraction
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Robust Snake Implementation; A Dual Active Contour
IEEE Transactions on Pattern Analysis and Machine Intelligence
CPM: A Deformable Model for Shape Recovery and Segmentation Based on Charged Particles
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised hierarchical image segmentation with level set and additive operator splitting
Pattern Recognition Letters
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
B-spline snakes: a flexible tool for parametric contour detection
IEEE Transactions on Image Processing
A faster converging snake algorithm to locate object boundaries
IEEE Transactions on Image Processing
Pattern Recognition and Image Analysis
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Active contour model(or'snake') is efficient in object contour extraction. It is widely applied in many fields, such as human facial feature extraction, segmenation of medical images, vedio object segmentation, 3D reconstruction, and so on. The implementation of GVF into the B Spline snake is specified, the resulting GVF B spline snake, retains the advantages of GVF snake. In this paper SOR method is assembled to speed GVF computation, and the same effect is reached in snake deforming by Conjugate Gradient method. The modified snake algorithm performs more effective and faster over original B spline snake.