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» Application of Level Set Methods in Computer Vision
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SCIA
2009
Springer
161views Image Analysis» more  SCIA 2009»
14 years 2 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...
ACCV
2007
Springer
14 years 1 months ago
The Kernel Orthogonal Mutual Subspace Method and Its Application to 3D Object Recognition
This paper proposes the kernel orthogonal mutual subspace method (KOMSM) for 3D object recognition. KOMSM is a kernel-based method for classifying sets of patterns such as video fr...
Kazuhiro Fukui, Osamu Yamaguchi
ISBI
2004
IEEE
14 years 8 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 ...
EMMCVPR
2009
Springer
14 years 2 months ago
Image Filtering Driven by Level Curves
This paper presents an approach to image filtering that is driven by the properties of the iso-valued level curves of the image and their relationship with one another. We explore...
Ajit Rajwade, Arunava Banerjee, Anand Rangarajan
VLSM
2005
Springer
14 years 1 months ago
A Gradient Descent Procedure for Variational Dynamic Surface Problems with Constraints
Abstract. Many problems in image analysis and computer vision involving boundaries and regions can be cast in a variational formulation. This means that m-surfaces, e.g. curves and...
Jan Erik Solem, Niels Chr. Overgaard