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SCIA
2009
Springer
161views Image Analysis» more  SCIA 2009»
13 years 12 months ago
A Fast Optimization Method for Level Set Segmentation
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...
Thord Andersson, Gunnar Läthén, Reiner...
ISBI
2004
IEEE
14 years 6 months ago
Combining Fuzzy Logic and Level Set Methods for 3D MRI Brain Segmentation
We propose to segment volumetric brain structures with a level set method including a fuzzy decision in the design of the evolution force. The role of fuzzy logic is to fuse gradi...
Christian Barillot, Cybèle Ciofolo, Pierre ...
MVA
2007
175views Computer Vision» more  MVA 2007»
13 years 6 months ago
Noisy Image Segmentation Based on a Level Set Evolution
In this paper, we propose a new hybrid model for active contour image segmentation, which is able to segment non-uniform noisy images efficiently. The model is a combination betwe...
Khaled Issa, Hiroshi Nagahashi
SCALESPACE
2009
Springer
13 years 12 months ago
Momentum Based Optimization Methods for Level Set Segmentation
Abstract. Segmentation of images is often posed as a variational problem. As such, it is solved by formulating an energy functional depending on a contour and other image derived t...
Gunnar Läthén, Thord Andersson, Reiner...

Publication
794views
15 years 1 months ago
A Fast Implementation of The Level Set Method Without Solving Partial Differential Equations
"The level set method is popular in the numerical implementation of curve evolution, but its high computational cost is a bottleneck for real-time applications. In this report...
Yonggang Shi, William Clem Karl