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
Boundary Finding with Parametrically Deformable Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature extraction from faces using deformable templates
International Journal of Computer Vision
A level set approach for computing solutions to incompressible two-phase flow
Journal of Computational Physics
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
Active shape models—their training and application
Computer Vision and Image Understanding
A variational level set approach to multiphase motion
Journal of Computational Physics
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
A Level Set Model for Image Classification
International Journal of Computer Vision
Shape Priors for Level Set Representations
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
DEFORMOTION: Deforming Motion, Shape Average and the Joint Registration and Segmentation of Images
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Boundary Finding with Correspondence Using Statistical Shape Models
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
On the Incorporation of shape priors into geometric active contours
VLSM '01 Proceedings of the IEEE Workshop on Variational and Level Set Methods (VLSM'01)
VLSM '01 Proceedings of the IEEE Workshop on Variational and Level Set Methods (VLSM'01)
A Variational Approach for the Segmentation of the Left Ventricle in MR Cardiac Images
VLSM '01 Proceedings of the IEEE Workshop on Variational and Level Set Methods (VLSM'01)
A level set algorithm for minimizing the Mumford-Shah functional in image processing
VLSM '01 Proceedings of the IEEE Workshop on Variational and Level Set Methods (VLSM'01)
Gradient flows and geometric active contour models
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Geodesic Active Regions for Supervised Texture Segmentation
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation
International Journal of Computer Vision
International Journal of Computer Vision
Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation
International Journal of Computer Vision
Dynamical Statistical Shape Priors for Level Set-Based Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Coupled Minimization Problem for Medical Image Segmentation with Priors
International Journal of Computer Vision
Prior-based Segmentation and Shape Registration in the Presence of Perspective Distortion
International Journal of Computer Vision
International Journal of Computer Vision
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Mathematical Imaging and Vision
Regularized Reconstruction of Shapes with Statistical a priori Knowledge
International Journal of Computer Vision
Shape-Based Mutual Segmentation
International Journal of Computer Vision
International Journal of Computer Vision
Geodesic Active Contours with Combined Shape and Appearance Priors
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Joint Parametric and Non-parametric Curve Evolution for Medical Image Segmentation
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Multi-Reference Shape Priors for Active Contours
International Journal of Computer Vision
Intrinsic Bayesian Active Contours for Extraction of Object Boundaries in Images
International Journal of Computer Vision
Cooperative Object Segmentation and Behavior Inference in Image Sequences
International Journal of Computer Vision
New Possibilities with Sobolev Active Contours
International Journal of Computer Vision
Appearance and Shape Prior Alignments in Level Set Segmentation
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
Multiphase Segmentation Based on Implicit Active Shape Models
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Mumford-Shah regularizer with contextual feedback
Journal of Mathematical Imaging and Vision
Preferential image segmentation using trees of shapes
IEEE Transactions on Image Processing
Occlusion tracking using logic models
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Contrast Constrained Local Binary Fitting for Image Segmentation
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Active Contour Method with Separate Global Translation and Local Deformation
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Extended Phase Field Higher-Order Active Contour Models for Networks
International Journal of Computer Vision
New possibilities with Sobolev active contours
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Segmentation under occlusions using selective shape prior
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Region based image segmentation using a modified Mumford-Shah algorithm
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Towards segmentation based on a shape prior manifold
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
The multiplicative path toward prior-shape guided active contour for object detection
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
The CMA-ES on Riemannian manifolds to reconstruct shapes in 3-D voxel images
IEEE Transactions on Evolutionary Computation
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation
Computers in Biology and Medicine
Non-invasive image-based approach for early detection of acute renal rejection
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
Segmentation for hyperspectral images with priors
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
SIAM Journal on Imaging Sciences
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Using a geometric formulation of annular-like shape priors for constraining variational level-sets
Pattern Recognition Letters
Recovering endocardial walls from 3D TEE
FIMH'11 Proceedings of the 6th international conference on Functional imaging and modeling of the heart
Embedding Gestalt laws on conditional random field for image segmentation
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
A shape prior constraint for implicit active contours
Pattern Recognition Letters
Hybrid framework for medical image segmentation
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Point-Based geometric deformable models for medical image segmentation
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
A variational PDE based level set method for a simultaneous segmentation and non-rigid registration
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Elastic shape models for interpolations of curves in image sequences
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Segmenting and tracking the left ventricle by learning the dynamics in cardiac images
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Multiregion level set tracking with transformation invariant shape priors
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
A multiphase level set based segmentation framework with pose invariant shape priors
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Tracking objects using shape context matching
Neurocomputing
A hybrid approach to extracting tooth models from CT volumes
IMA'05 Proceedings of the 11th IMA international conference on Mathematics of Surfaces
One-Shot integral invariant shape priors for variational segmentation
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Edge strength functions as shape priors in image segmentation
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Spatio-temporal prior shape constraint for level set segmentation
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Dynamical statistical shape priors for level set based sequence segmentation
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Image segmentation under occlusion using selective shape priors
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
Region and shape prior based geodesic active contour and application in cardiac valve segmentation
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
An Improved Brain Image Classification Technique with Mining and Shape Prior Segmentation Procedure
Journal of Medical Systems
Spaces and manifolds of shapes in computer vision: An overview
Image and Vision Computing
Image segmentation with one shape prior - A template-based formulation
Image and Vision Computing
Journal of Mathematical Imaging and Vision
Ultrasound kidney segmentation with a global prior shape
Journal of Visual Communication and Image Representation
Extraction of left ventricle borders with local and global priors from echocardiograms
Machine Vision and Applications
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In this paper, we report an active contour algorithm that is capable of using prior shapes. The energy functional of the contour is modified so that the energy depends on the image gradient as well as the prior shape. The model provides the segmentation and the transformation that maps the segmented contour to the prior shape. The active contour is able to find boundaries that are similar in shape to the prior, even when the entire boundary is not visible in the image (i.e., when the boundary has gaps). A level set formulation of the active contour is presented. The existence of the solution to the energy minimization is also established.We also report experimental results of the use of this contour on 2d synthetic images, ultrasound images and fMRI images. Classical active contours cannot be used in many of these images.