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ICDAR
2009
IEEE
13 years 6 months ago
Restoration and Segmentation of Highly Degraded Characters Using a Shape-Independent Level Set Approach and Multi-level Classifi
Segmentation of ancient documents is challenging. In the worst cases, text characters become fragmented as the results of strong degradation processes. New active contour methods ...
Reza Farrahi Moghaddam, David Rivest-Hénaul...
VISUALIZATION
2003
IEEE
14 years 2 months ago
Fast Volume Segmentation With Simultaneous Visualization Using Programmable Graphics Hardware
Segmentation of structures from measured volume data, such as anatomy in medical imaging, is a challenging data-dependent task. In this paper, we present a segmentation method tha...
Anthony Sherbondy, Michael Houston, Sandy Napel
CIS
2004
Springer
14 years 2 months ago
Automatic Segmentation Technique Without User Modification for 3D Visualization in Medical Images
Abstract. It is necessary to analyze an image from CT or MR and then to segment an image of a certain organ from that of other tissues for 3D (ThreeDimensional) visualization. Ther...
Won Seong, Eui-Jeong Kim, Jong-Won Park
ECCV
2006
Springer
14 years 14 days ago
Learning Semantic Scene Models by Trajectory Analysis
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
Xiaogang Wang, Kinh Tieu, Eric Grimson
ECCV
2000
Springer
14 years 10 months ago
Non-parametric Model for Background Subtraction
Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the sc...
Ahmed M. Elgammal, David Harwood, Larry S. Davis