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» Level set image segmentation with Bayesian analysis
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CVPR
2011
IEEE
14 years 2 months ago
Nonlinear Shape Manifolds as Shape Priors in Level Set Segmentation and Tracking
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
Victor Prisacariu, Ian Reid
87
Voted
ISVC
2007
Springer
15 years 5 months ago
Lip Contour Segmentation Using Kernel Methods and Level Sets
This paper proposes a novel method for segmenting lips from face images or video sequences. A non-linear learning method in the form of an SVM classifier is trained to recognise l...
A. Khan, William J. Christmas, Josef Kittler
100
Voted
ICIP
2006
IEEE
16 years 21 days ago
Perceptual Feature Selection for Semantic Image Classification
Content-based image retrieval has become an indispensable tool for managing the rapidly growing collections of digital images. The goal is to organize the contents semantically, a...
Dejan Depalov, Thrasyvoulos N. Pappas, Dongge Li, ...
ICCV
2005
IEEE
16 years 29 days ago
A Shape-Based Segmentation Approach: An Improved Technique Using Level Sets
We propose a novel approach for shape-based segmentation based on a specially designed level set function format. This format permits us to better control the process of object re...
Hossam E. Abd El Munim, Aly A. Farag
CISIS
2009
IEEE
14 years 8 months ago
Simultaneous Background/Foreground Segmentation and Contour Smoothing with Level Set Based Partial Differential Equation for Int
In this paper, we propose a level set based energy functional, the minimization of which results in simultaneous background modeling, foreground segmentation, and contour smoothin...
Suk Ho Lee, Nam-seok Choi, Byung-Gook Lee, Moon Gi...