A Self-Referencing Level-Set Method for Image Reconstruction from Sparse Fourier Samples
International Journal of Computer Vision
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
International Journal of Computer Vision
Using Prior Shapes in Geometric Active Contours in a Variational Framework
International Journal of Computer Vision
Registration Assisted Image Smoothing and Segmentation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Journal of Mathematical Imaging and Vision
Information-Theoretic Active Polygons for Unsupervised Texture Segmentation
International Journal of Computer Vision
Signal segmentation and denoising algorithm based on energy optimisation
Signal Processing
A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation
International Journal of Computer Vision
Graph Partitioning Active Contours (GPAC) for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation
International Journal of Computer Vision
A Coupled Minimization Problem for Medical Image Segmentation with Priors
International Journal of Computer Vision
Local or Global Minima: Flexible Dual-Front Active Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Optimal segmentation of pupillometric images for estimating pupil shape parameters
Computer Methods and Programs in Biomedicine
A Mumford-Shah level-set approach for the inversion and segmentation of X-ray tomography data
Journal of Computational Physics
A nonlinear variational method for signal segmentation and reconstruction using level set algorithm
Signal Processing - Special section: Distributed source coding
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking
International Journal of Computer Vision
International Journal of Computer Vision
Proceedings of the 2007 ACM symposium on Solid and physical modeling
Nonparametric shape priors for active contour-based image segmentation
Signal Processing
An improved algorithm for the piecewise-smooth Mumford and Shah model in image segmentation
EURASIP Journal on Bioinformatics and Systems Biology
Image magnification based on a blockwise adaptive Markov random field model
Image and Vision Computing
Efficient segmentation based on Eikonal and diffusion equations
International Journal of Computer Mathematics - Computer Vision and Pattern Recognition
Nonlinear Dynamical Shape Priors for Level Set Segmentation
Journal of Scientific Computing
Shock filter coupled to curvature diffusion for image denoising and sharpening
Image and Vision Computing
A Mumford-Shah model on lattice
Image and Vision Computing
Statistical Shape Space Analysis Based on Level Sets
MIAR '08 Proceedings of the 4th international workshop on Medical Imaging and Augmented Reality
Automated Segmentation Using a Fast Implementation of the Chan-Vese Models
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Brain MR Image Segmentation Using Local and Global Intensity Fitting Active Contours/Surfaces
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Automatic detection and tracking of oil spills in SAR imagery with level set segmentation
International Journal of Remote Sensing - Satellite observations of the atmosphere, ocean and their interface in relation to climate, natural hazards and management of the coastal zone
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
External Force for Active Contours: Gradient Vector Convolution
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
A narrow band graph partitioning method for skin lesion segmentation
Pattern Recognition
International Journal of Computer Vision
Text line segmentation in handwritten documents using Mumford-Shah model
Pattern Recognition
A New Technique for Image Magnification
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Active contours driven by local Gaussian distribution fitting energy
Signal Processing
Target detection in SAR images based on a level set approach
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Preferential image segmentation using trees of shapes
IEEE Transactions on Image Processing
Graph cut optimization for the Mumford-Shah model
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
An efficient local Chan-Vese model for image segmentation
Pattern Recognition
Joint brain parametric T1-map segmentation and RF inhomogeneity calibration
Journal of Biomedical Imaging
Contrast Constrained Local Binary Fitting for Image Segmentation
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
An Active Contour Approach for a Mumford-Shah Model in X-Ray Tomography
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Automatic clinical image segmentation using pathological modeling, PCA and SVM
Engineering Applications of Artificial Intelligence
Active contours driven by local image fitting energy
Pattern Recognition
Active contours with selective local or global segmentation: A new formulation and level set method
Image and Vision Computing
The piecewise smooth Mumford-Shah functional on an arbitrary graph
IEEE Transactions on Image Processing
Fuzzy energy-based active contours
IEEE Transactions on Image Processing
A fast region-based image segmentation based on least square method
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Unsupervised hierarchical image segmentation with level set and additive operator splitting
Pattern Recognition Letters
Segmentation of coarse and fine scale features using multi-scale diffusion and Mumford-Shah
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
Fuzzy region competition: a convex two-phase segmentation framework
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Efficient segmentation of piecewise smooth images
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
MCMC curve sampling for image segmentation
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
A level set based segmentation method for images with intensity inhomogeneity
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
A brain MR image segmentation approach based on local intensity fitting curve evolution
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
Integrating local distribution information with level set for boundary extraction
Journal of Visual Communication and Image Representation
A fully automatic one-scan adaptive zooming algorithm for color images
Signal Processing
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
On the Length and Area Regularization for Multiphase Level Set Segmentation
International Journal of Computer Vision
The segmentation of the body of tongue based on the improved level set in TCM
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part III
Soft tissue discrimination using magnetic resonance elastography with a new elastic level set model
MLMI'10 Proceedings of the First international conference on Machine learning in medical imaging
A novel variational model for image segmentation
Journal of Computational and Applied Mathematics
Split Bregman method for minimization of region-scalable fitting energy for image segmentation
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
A fast level set-like algorithm for region-based active contours
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Engineering Applications of Artificial Intelligence
Medical image segmentation based on novel local order energy
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Homogeneity- and density distance-driven active contours for medical image segmentation
Computers in Biology and Medicine
Segmenting dynamic textures with ising descriptors, ARX models and level sets
WDV'05/WDV'06/ICCV'05/ECCV'06 Proceedings of the 2005/2006 international conference on Dynamical vision
Texture segmentation via non-local non-parametric active contours
EMMCVPR'11 Proceedings of the 8th international conference on Energy minimization methods in computer vision and pattern recognition
Pattern Recognition Letters
3D mumford-shah based active mesh
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
A generalized level set formulation of the mumford-shah functional for brain MR image segmentation
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Fast and robust clinical triple-region image segmentation using one level set function
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
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
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Small object detection in cluttered image using a correlation based active contour model
Pattern Recognition Letters
Automatic clinical image segmentation using pathological modelling, PCA and SVM
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
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
Energy minimization based segmentation and denoising using a multilayer level set approach
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Active contour method combining local fitting energy and global fitting energy dynamically
ICMB'10 Proceedings of the Second international conference on Medical Biometrics
A local region-based Chan-Vese model for image segmentation
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
Level set segmentation based on local gaussian distribution fitting
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Surface creation and curve deformations between two complex closed spatial spline curves
GMP'06 Proceedings of the 4th international conference on Geometric Modeling and Processing
A new region-based active contour for object extraction using level set method
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
Journal of Biomedical Imaging - Special issue on Mathematical Methods for Images and Surfaces 2011
A robust patch-statistical active contour model for image segmentation
Pattern Recognition Letters
A Mumford-Shah-Like Method for Limited Data Tomography with an Application to Electron Tomography
SIAM Journal on Imaging Sciences
Reduced set density estimator for object segmentation based on shape probabilistic representation
Journal of Visual Communication and Image Representation
A segmentation algorithm for jacquard images based on mumford-shah model
EGMM'04 Proceedings of the Seventh Eurographics conference on Multimedia
An active contour model driven by anisotropic region fitting energy for image segmentation
Digital Signal Processing
Automatic segmentation of unknown objects, with application to baggage security
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Level set evolution with locally linear classification for image segmentation
Pattern Recognition
Region-based image segmentation with local signed difference energy
Pattern Recognition Letters
Active contour model driven by local histogram fitting energy
Pattern Recognition Letters
Active contour model for simultaneous MR image segmentation and denoising
Digital Signal Processing
Mean shift based gradient vector flow for image segmentation
Computer Vision and Image Understanding
Pattern Recognition and Image Analysis
Information Sciences: an International Journal
Active Contours with Free Endpoints
Journal of Mathematical Imaging and Vision
Hi-index | 0.02 |
We first address the problem of simultaneous image segmentation and smoothing by approaching the Mumford-Shah (1989) paradigm from a curve evolution perspective. In particular, we let a set of deformable contours define the boundaries between regions in an image where we model the data via piecewise smooth functions and employ a gradient flow to evolve these contours. Each gradient step involves solving an optimal estimation problem for the data within each region, connecting curve evolution and the Mumford-Shah functional with the theory of boundary-value stochastic processes. The resulting active contour model offers a tractable implementation of the original Mumford-Shah model (i.e., without resorting to elliptic approximations which have traditionally been favored for greater ease in implementation) to simultaneously segment and smoothly reconstruct the data within a given image in a coupled manner. Various implementations of this algorithm are introduced to increase its speed of convergence. We also outline a hierarchical implementation of this algorithm to handle important image features such as triple points and other multiple junctions. Next, by generalizing the data fidelity term of the original Mumford-Shah functional to incorporate a spatially varying penalty, we extend our method to problems in which data quality varies across the image and to images in which sets of pixel measurements are missing. This more general model leads us to a novel PDE-based approach for simultaneous image magnification, segmentation, and smoothing, thereby extending the traditional applications of the Mumford-Shah functional which only considers simultaneous segmentation and smoothing