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ICCV
2001
IEEE
16 years 8 months ago
Image Segmentation with Minimum Mean Cut
We introduce a new graph-theoretic approach to image segmentation based on minimizing a novel class of `mean cut' cost functions. Minimizing these cost functions corresponds ...
Song Wang, Jeffrey Mark Siskind
160
Voted
ICIP
2006
IEEE
16 years 8 months ago
Automatic Hot Spot Detection and Segmentation in Whole Body FDG-PET Images
We present a system for automatic hot spots detection and segmentation in whole body FDG-PET images. The main contribution of our system is threefold. First, it has a novel body-s...
Haiying Guan, Toshiro Kubota, Xiaolei Huang, Xiang...

Source Code
1894views
16 years 1 months ago
Supervised Image Segmentation Using Markov Random Fields
This is the sample implementation of a Markov random field based image segmentation algorithm described in the following papers: 1. Mark Berthod, Zoltan Kato, Shan Yu, and Josi...
Csaba Gradwohl, Zoltan Kato
CVBIA
2005
Springer
16 years 12 days ago
Shape Based Segmentation of Anatomical Structures in Magnetic Resonance Images
Standard image based segmentation approaches perform poorly when there is little or no contrast along boundaries of different regions. In such cases, segmentation is largely perfor...
Kilian M. Pohl, John W. Fisher III, Ron Kikinis, W...
193
Voted
DAGM
2005
Springer
16 years 12 days ago
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation
Abstract. This paper presents the integration of 3D shape knowledge into a variational model for level set based image segmentation and tracking. Having a 3D surface model of an ob...
Thomas Brox, Bodo Rosenhahn, Joachim Weickert