Region competition: unifying snakes, region growing, energy/Bayes/MDL for multi-band image segmentation

Authors:
S. C. Zhu;T. S. Lee;A. L. Yuille
Affiliations:
-;-;-
Venue:
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Year:
1995

Citing 0
Cited 35

Game-Theoretic Integration for Image Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Medical Image Analysis: Progress over Two Decades and the Challenges Ahead

IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Tracking Using Deformable Templates

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model

International Journal of Computer Vision
Stereoscopic Segmentation

International Journal of Computer Vision
DREAM2S: Deformable Regions Driven by an Eulerian Accurate Minimization Method for Image and Video Segmentation

International Journal of Computer Vision
Deformotion: Deforming Motion, Shape Average and the Joint Registration and Approximation of Structures in Images

International Journal of Computer Vision
Regularized Laplacian Zero Crossings as Optimal Edge Integrators

International Journal of Computer Vision
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
Region Matching with Missing Parts

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
A Hierarchical Markov Random Field Model for Figure-Ground Segregation

EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Hybrid Segmentation of Anatomical Data

MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Image Segmentation Based on the Integration of Pixel Affinity and Deformable Models

CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
An Integrated Approach for Surface Finding in Medical Images

MMBIA '96 Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '96)
Sobolev Active Contours

International Journal of Computer Vision
Topological control of level set method depending on topology constraints

Pattern Recognition Letters
Computational analysis and learning for a biologically motivated model of boundary detection

Neurocomputing
Fast edge integration based active contours for color images

Computers and Electrical Engineering
A Novel Algorithm for Automatic Brain Structure Segmentation from MRI

ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Geometric active contours without re-initialization for image segmentation

Pattern Recognition
A geometric active contour model without re-initialization for color images

Image and Vision Computing
New Possibilities with Sobolev Active Contours

International Journal of Computer Vision
Active Contour Method with Separate Global Translation and Local Deformation

ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Region-Based Active Contours with Exponential Family Observations

Journal of Mathematical Imaging and Vision
Detection and tracking of coronal mass ejections based on supervised segmentation and level set

Pattern Recognition Letters
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
On the Length and Area Regularization for Multiphase Level Set Segmentation

International Journal of Computer Vision
A two-level strategy for segmenting center of interest from pictures

Expert Systems with Applications: An International Journal
Multi-threshold level set model for image segmentation

EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Semi-automatic 3D segmentation of brain structures from MRI

International Journal of Data Mining and Bioinformatics
Structure from motion for scenes without features

CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
4D cardiac reconstruction using high resolution CT images

FIMH'11 Proceedings of the 6th international conference on Functional imaging and modeling of the heart
A New Geometric Metric in the Space of Curves, and Applications to Tracking Deforming Objects by Prediction and Filtering

SIAM Journal on Imaging Sciences
Polygonal Mesh Comparison Applied to the Study of European Portuguese Sounds

International Journal of Creative Interfaces and Computer Graphics
Elastic shapes models for improving segmentation of object boundaries in synthetic aperture sonar images

Computer Vision and Image Understanding

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a novel statistical and variational approach to image segmentation based on a new algorithm named region competition. This algorithm is derived by minimizing a generalized Bayes/MDL (Minimum Description Length) criterion using the variational principle. We show that existing techniques in early vision such as, snake/balloon models, region growing, and Bayes/MDL are addressing different aspects of the same problem and they can be unified within a common statistical framework which combines their advantages. We analyze how to optimize the precision of the resulting boundary location by studying the statistical properties of the region competition algorithm and discuss what are good initial conditions for the algorithm. Our method is generalized to color and texture segmentation and is demonstrated on grey level images, color images and texture images.