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CVBIA
2005
Springer
15 years 3 months ago
A Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints
In this paper we present a new framework for image segmentation using probabilistic multinets. We apply this framework to integration of regionbased and contour-based segmentation ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
IJCAI
2007
14 years 11 months ago
Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination
A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. It is commonly asserted that in order to ...
Mohan Sridharan, Peter Stone
82
Voted
ISBI
2006
IEEE
15 years 10 months ago
A tightly coupled region-shape framework for 3D medical image segmentation
Most hybrid 3D segmentation methods either heuristically couple the respective algorithm or combine a true 3D with a 2D algorithm due to computational considerations. In this pape...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ICCV
2007
IEEE
15 years 11 months ago
A Seeded Image Segmentation Framework Unifying Graph Cuts And Random Walker Which Yields A New Algorithm
In this work, we present a common framework for seeded image segmentation algorithms that yields two of the leading methods as special cases - The Graph Cuts and the Random Walker...
Ali Kemal Sinop, Leo Grady
PCM
2005
Springer
117views Multimedia» more  PCM 2005»
15 years 3 months ago
A Robust Text Segmentation Approach in Complex Background Based on Multiple Constraints
In this paper we propose a robust text segmentation method in complex background. The proposed method first utilizes the K-means algorithm to decompose a detected text block into ...
Libo Fu, Weiqiang Wang, Yaowen Zhan