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» Graph-Theoretic Approach to Clustering and Segmentation
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CVPR
2003
IEEE
9 years 2 months ago
Graph-Theoretic Approach to Clustering and Segmentation
We develop a framework for the image segmentation problem based on a new graph-theoretic formulation of clustering. The approach is motivated by the analogies between the intuitiv...
Massimiliano Pavan, Marcello Pelillo
VIP
2001
8 years 10 months ago
Three-dimensional Medical Image Segmentation Using a Graph-Theoretic Energy-Minimisation Approach
A new graph algorithm for multiscale segmentation of threedimensional medical data sets is presented. It is a threedimensional generalisation of an existing two-dimensional Mumfor...
Brian Parker
PAMI
2006
181views more  PAMI 2006»
8 years 9 months ago
Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach
Efficient segmentation of globally optimal surfaces representing object boundaries in volumetric data sets is important and challenging in many medical image analysis applications....
Kang Li, Xiaodong Wu, Danny Z. Chen, Milan Sonka
TMI
2016
3 years 5 months ago
A Graph-Theoretical Approach for Tracing Filamentary Structures in Neuronal and Retinal Images
— The aim of this study is about tracing filamentary structures in both neuronal and retinal images. It is often crucial to identify single neurons in neuronal networks, or sepa...
Jaydeep De, Li Cheng, Xiaowei Zhang, Feng Lin, Hui...
WWW
2008
ACM
9 years 10 months ago
Graph theoretical framework for simultaneously integrating visual and textual features for efficient web image clustering
With the explosive growth of Web and the recent development in digital media technology, the number of images on the Web has grown tremendously. Consequently, Web image clustering...
Manjeet Rege, Ming Dong, Jing Hua
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