Variational nonlocal image segmentation using split-Bregman
Abstract
References
Index Terms
- Variational nonlocal image segmentation using split-Bregman
Recommendations
Nonlocal variational image segmentation models on graphs using the Split Bregman
Variational functionals such as Mumford-Shah and Chan-Vese methods have a major impact on various areas of image processing. After over 10 years of investigation, they are still in widespread use today. These formulations optimize contours by evolution ...
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 IIIn this paper, we incorporate the global convex segmentation method and the split Bregman technique into the region-scalable fitting energy model. The new proposed method based on the region-scalable model can draw upon intensity information in local ...
Image Segmentation Model Based on Local Image Fitting Energy and Split Bregman Method
ICIG '13: Proceedings of the 2013 Seventh International Conference on Image and GraphicsPDE based image segmentation methods are the state-of-the-art methods due to the high accuracy and continuity of detected edges. Some examples are the region-scalable fitting (RSF) model and the local image fitting energy (LIF) model. But they suffer ...
Comments
Information & Contributors
Information
Published In

- General Chairs:
- Xinguo Yu,
- Rainer Lienhart,
- Program Chairs:
- Zheng-Jun Zha,
- Yan Liu,
- Shin'ichi Satoh
Sponsors
- National Science Foundation of China
- CCNU: Central China Normal University
- Daqian Vision: Daqian Vision
- Microsoft Research: Microsoft Research
- Beijing ACM SIGMM Chapter
- NEC: NEC Labs China
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Funding Sources
- National Natural Science Foundation of China
- Natural Science Foundation of Beijing Municipality
- Ministry of Science and Technology of the People's Republic of China
- Shanghai key laboratory of integrate administration technologies for information security
- Foundation of Beijing Educational Committee
Conference
- CCNU
- Daqian Vision
- Microsoft Research
- NEC
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 126Total Downloads
- Downloads (Last 12 months)1
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in