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» Improved Segmentation Based on Probabilistic Labeling
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TMI
1998
122views more  TMI 1998»
13 years 8 months ago
Segmentation and Interpretation of MR Brain Images: An Improved Active Shape Model
Abstract— This paper reports a novel method for fully automated segmentation that is based on description of shape and its variation using point distribution models (PDM’s). An...
Nicolae Duta, Milan Sonka
ICIP
2005
IEEE
14 years 10 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang
CIMCA
2005
IEEE
14 years 2 months ago
Improving Rule Generation Precision for Domain Knowledge based Wrappers
Wrappers play an important role in extracting specified information from various sources. Wrapper rules by which information is extracted are often created from the domain-specifi...
Chang-Hoo Jeong, Sung-Jin Jhun, Myung-Eun Lim, Sun...
MICCAI
2001
Springer
14 years 27 days ago
Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation
Extracting 3D structures from volumetric images like MRI or CT is becoming a routine process for diagnosis based on quantitation, for radiotherapy planning, for surgical planning a...
Guido Gerig, Matthieu Jomier, Miranda Chakos
MMM
2007
Springer
129views Multimedia» more  MMM 2007»
14 years 2 months ago
A New Method to Improve Multi Font Farsi/Arabic Character Segmentation Results: Using Extra Classes of Some Character Combinatio
A new segmentation algorithm for multifont Farsi/Arabic texts based on conditional labeling of up and down contours was presented in [1]. A preprocessing technique was used to adju...
Mona Omidyeganeh, Reza Azmi, Kambiz Nayebi, Abbas ...