A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
On active contour models and balloons
CVGIP: Image Understanding
Region-based strategies for active contour models
International Journal of Computer Vision
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Encoding of a priori Information in Active Contour Models
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
Generalized gradient vector flow external forces for active contours
Signal Processing - Special issue on deformable models and techniques for image and signal processing
Statistical Region Snake-Based Segmentation Adapted to Different Physical Noise Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sectored Snakes: Evaluating Learned-Energy Segmentations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space Theory in Computer Vision
Scale-Space Theory in Computer Vision
Shape and topology constraints on parametric active contours
Computer Vision and Image Understanding
Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vector Field Analysis for Oriented Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dual-t-snakes model for medical imaging segmentation
Pattern Recognition Letters - Special issue: Sibgrapi 2001
Gradient Vector Flow: A New External Force for Snakes
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Extraction and Tracking of the Tongue Surface from Ultrasound Image Sequences
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Using 2D Active Contour Models for 3D Reconstruction from Serial Sections
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Deformable Contour Method: A Constrained Optimization Approach
International Journal of Computer Vision
International Journal of Computer Vision
Automatic thresholding for defect detection
Pattern Recognition Letters
Constrained nonlinear models of fingerprint orientations with prediction
Pattern Recognition
Review: A comparative study of deformable contour methods on medical image segmentation
Image and Vision Computing
Fourier-based geometric shape prior for snakes
Pattern Recognition Letters
Convergence analysis of active contours
Image and Vision Computing
A multi-direction GVF snake for the segmentation of skin cancer images
Pattern Recognition
Force field analysis snake: an improved parametric active contour model
Pattern Recognition Letters
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Area and length minimizing flows for shape segmentation
IEEE Transactions on Image Processing
Minimum description length synthetic aperture radar image segmentation
IEEE Transactions on Image Processing
Adaptive diffusion flow active contours for image segmentation
Computer Vision and Image Understanding
Journal of Visual Communication and Image Representation
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We propose a modification of the generalized gradient vector flow field techniques based on a continuous force field analysis. At every iteration the generalized gradient vector flow method obtains a new, improved vector field. However, the numerical procedure always employs the original image to calculate the gradients used in the source term. The basic idea developed in this paper is to use the resulting vector field to obtain an improved edge map and use it to calculate a new gradient based source term. The improved edge map is evaluated by new continuous force field analysis techniques inspired by a preceding discrete version. The approach leads to a better convergence and better segmentation accuracy as compared to several conventional gradient vector flow type methods.