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SCIA
2005
Springer
113views Image Analysis» more  SCIA 2005»
15 years 8 months ago
Segmentation of Medical Images Using Three-Dimensional Active Shape Models
In this paper a fully automated segmentation system for the femur in the knee in Magnetic Resonance Images and the brain in Single Photon Emission Computed Tomography images is pr...
Klas Josephson, Anders Ericsson, Johan Karlsson
ICCV
2003
IEEE
15 years 8 months ago
A Model-Based Approach for Automated Feature Extraction in Fundus Images
A new approach to automatically extract the main features in color fundus images are proposed in this paper. Optic disk is localized by the principal component analysis (PCA) and ...
Huiqi Li, Opas Chutatape
DAGM
1998
Springer
15 years 7 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
ICIAP
1997
ACM
15 years 7 months ago
Image Analysis and Synthesis Using Physics-Based Modeling for Pearl Quality Evaluation System
Analysis by image synthesis using CG has attracted wide attention in machine vision. This paper proposes a method ofmodeling and synthesizingpearls thatwillbe thecentraltechniqueof...
Noriko Nagata, Toshimasa Dobashi, Yoshitsugu Manab...
BMVC
2000
15 years 4 months ago
Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation
High-dimensional data, such as images represented as points in the space spanned by their pixel values, can often be described in a significantly smaller number of dimensions than...
Dick de Ridder, Josef Kittler, Robert P. W. Duin