A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Using Dynamic Programming for Solving Variational Problems in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
On active contour models and balloons
CVGIP: Image Understanding
Active vision
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
A fast level set method for propagating interfaces
Journal of Computational Physics
Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic Data Association Methods for Tracking Complex Visual Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion estimation based tracking of active contours
Pattern Recognition Letters
Loop-free snakes for highly irregular object shapes
Pattern Recognition Letters
Tracking Deformable Objects in the Plane Using an Active Contour Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Flux Maximizing Geometric Flows
IEEE Transactions on Pattern Analysis and Machine Intelligence
Topologically adaptable snakes
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Area and length minimizing flows for shape segmentation
IEEE Transactions on Image Processing
B-spline snakes: a flexible tool for parametric contour detection
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Convergence analysis of active contours
Image and Vision Computing
Fuzzy shape-memory snakes for the automatic off-line signature verification problem
Fuzzy Sets and Systems
Snake models for offline signature verification: a comparative study
International Journal of Innovative Computing and Applications
Continuous force field analysis for generalized gradient vector flow field
Pattern Recognition
Adaptive diffusion flow active contours for image segmentation
Computer Vision and Image Understanding
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An improved parametric active contour model, FFA snake, is presented in this paper. Based on analyzing the force distribution in the distance potential force field, it is found that there are two types of contour points in the curve. The points in one type are called true contour points and can be classified into six sorts, and the points in the other type are called false contour points. When the energy of the contour is approaching the minimum, the contour is not considered as the final one, and the algorithm must be executed continuously until all points in the curve are judged to be one of the six sorts of the true contour points. Simulation results show that there are three advantages of this model, firstly, it has a large capture range, so it is insensitive to the initialization; secondly, it can move parts of the snake into boundary concavities; finally, it has a low computational cost.