Compilers: principles, techniques, and tools
Compilers: principles, techniques, and tools
A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Algorithms
Recognition of Kidney Glomerulus by Dynamic Programming Matching Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Dynamic Programming for Solving Variational Problems in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Contour Decomposition Using a Constant Curvature Criterion
IEEE Transactions on Pattern Analysis and Machine Intelligence
2-D Shape Classification Using Hidden Markov Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Cost Minimization Approach to Edge Detection Using Simulated Annealing
IEEE Transactions on Pattern Analysis and Machine Intelligence
A fast algorithm for active contours and curvature estimation
CVGIP: Image Understanding
Applied Algebra for the Computer Sciences
Applied Algebra for the Computer Sciences
Digital Image Processing
Introduction To Automata Theory, Languages, And Computation
Introduction To Automata Theory, Languages, And Computation
Tracking Deformable Objects in the Plane Using an Active Contour Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deformable Contour Based Algorithm for Segmentation of the Hippocampus from MRI
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Generating Discriminating Cartoon Faces Using Interacting Snakes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Frequency Domain Formulation of Active Parametric Deformable Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Review: A comparative study of deformable contour methods on medical image segmentation
Image and Vision Computing
Layered Cooperation of Macro Agents and Micro Agents in Cooperative Active Contour Model
Agent Computing and Multi-Agent Systems
Continuous force field analysis for generalized gradient vector flow field
Pattern Recognition
Shape context for image understanding
SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
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The theory of active contours models the problem of contour recovery as an energy minimization process. The computational solutions based on dynamic programming require that the energy associated with a contour candidate can be decomposed into an integral of local energy contributions. In this paper we propose a grammatical framework that can model different local energy models and a set of allowable transitions between these models. The grammatical encodings are utilized to represent a priori knowledge about the shape of the object and the associated signatures in the underlying images. The variability encountered in numerical experiments is addressed with the energy minimization procedure which is embedded in the grammatical framework. We propose an algorithmic solution that combines a nondeterministic version of the Knuth-Morris-Pratt algorithm for string matching with a time-delayed discrete dynamic programming algorithm for energy minimization. The numerical experiments address practical problems encountered in contour recovery such as noise robustness and occlusion.