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» Level Set Based Image Segmentation with Multiple Regions
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GBRPR
2009
Springer
15 years 10 months ago
Annotated Contraction Kernels for Interactive Image Segmentation
This article shows how the interactive segmentation tool termed “Active Paintbrush” and a fully automatic region merging can both be based on the theoretical framework of contr...
Hans Meine
MICCAI
2009
Springer
16 years 4 months ago
A Fuzzy Region-Based Hidden Markov Model for Partial-Volume Classification in Brain MRI
We present a novel fuzzy region-based hidden Markov model (frbHMM) for unsupervised partial-volume classification in brain magnetic resonance images (MRIs). The primary contributio...
Albert Huang, Rafeef Abugharbieh, Roger Tam
140
Voted
ICIP
2007
IEEE
16 years 5 months ago
Region-Based Dense Depth Extraction from Multi-View Video
A novel multi-view region-based dense depth map estimation problem is presented, based on a modified planesweeping strategy. In this approach, the whole scene is assumed to be reg...
Cevahir Cigla, Xenophon Zabulis, A. Aydin Alatan
ICPR
2008
IEEE
16 years 4 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
120
Voted
FLAIRS
2003
15 years 4 months ago
Low Level Fusion of Imagery Based on Dempster-Shafer Theory
An approach to fuse multiple images based on Dempster-Shafer evidential reasoning is proposed in this article. Dempster-Shafer theory provides a complete framework for combining w...
Xiaohui Yuan, Jian Zhang 0007, Xiaojing Yuan, Bill...