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» Shape-Based Level Set Method for Image Segmentation
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TITB
2002
172views more  TITB 2002»
14 years 9 months ago
Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review
The class of geometric deformable models, also known as level sets, has brought tremendous impact to medical imagery due to its capability of topology preservation and fast shape r...
Jasjit S. Suri, Kecheng Liu, Sameer Singh, Swamy L...
ISBI
2009
IEEE
15 years 4 months ago
A Classifier Ensemble Based on Performance Level Estimation
In this paper, we introduce a new classifier ensemble approach, applied to tissue segmentation in optical images of the uterine cervix. Ensemble methods combine the predictions o...
Wei Wang, Yaoyao Zhu, Xiaolei Huang, Daniel P. Lop...
TIP
2008
144views more  TIP 2008»
14 years 9 months ago
Minimization of Region-Scalable Fitting Energy for Image Segmentation
Intensity inhomogeneities often occur in real-world images and may cause considerable difficulties in image segmentation. In order to overcome the difficulties caused by intensity ...
Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua D...
ICIP
1999
IEEE
15 years 1 months ago
Motion Segmentation with Level Sets
Segmentation of motion in an image sequence is one of the most challenging problems in image processing, while at the same time one that finds numerous applications. To date, a wea...
Abdol-Reza Mansouri, Janusz Konrad
JSCIC
2010
231views more  JSCIC 2010»
14 years 4 months ago
Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction
Variational models for image segmentation have many applications, but can be slow to compute. Recently, globally convex segmentation models have been introduced which are very rel...
Tom Goldstein, Xavier Bresson, Stanley Osher