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» Force field energy functionals for image feature extraction
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ICPR
2002
IEEE
15 years 10 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
MICCAI
2005
Springer
15 years 10 months ago
Using the Fast Marching Method to Extract Curves with Given Global Properties
Abstract. Curves are often used as anatomical features to match surfaces that represent biological objects, such as the human brain. Automated and semi-automated methods for extrac...
Xiaodong Tao, Christos Davatzikos, Jerry L. Prince
SMI
2003
IEEE
223views Image Analysis» more  SMI 2003»
15 years 2 months ago
Skeleton Extraction of 3D Objects with Radial Basis Functions
Skeleton is a lower dimensional shape description of an object. The requirements of a skeleton differ with applications. For example, object recognition requires skeletons with pr...
Wan-Chun Ma, Fu-Che Wu, Ming Ouhyoung
101
Voted
CBMS
1997
IEEE
15 years 1 months ago
Radial basis function-based image segmentation using a receptive field
This paper presents a novel method for CT head image automatic segmentation. The images are obtained from patients having the spontaneous intra cerebral brain hemorrhage ICH. Th...
Domagoj Kovacevic, Sven Loncaric
ECCV
2008
Springer
15 years 11 months ago
Feature Correspondence Via Graph Matching: Models and Global Optimization
Abstract. In this paper we present a new approach for establishing correspondences between sparse image features related by an unknown non-rigid mapping and corrupted by clutter an...
Lorenzo Torresani, Vladimir Kolmogorov, Carsten Ro...