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JRTIP
2006
114views more  JRTIP 2006»
13 years 8 months ago
Sensor band selection for multispectral imaging via average normalized information
The information-rich scene descriptors created by multispectral sensors can act as a bottleneck in further analysis. Many of the spectral band selection methods treat the two under...
Hongzhi Wang, Elli Angelopoulou
ICDAR
2009
IEEE
14 years 3 months ago
Statistical Modeling and Learning for Recognition-Based Handwritten Numeral String Segmentation
This paper proposes a recognition based approach to handwritten numeral string segmentation. We consider two classes: numeral strings segmented correctly or not. The feature vecto...
Yanjie Wang, Xiabi Liu, Yunde Jia
WSOM
2009
Springer
14 years 3 months ago
Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ
Vector quantization methods are confronted with a model selection problem, namely the number of prototypical feature representatives to model each class. In this paper we present a...
Alexander Denecke, Heiko Wersing, Jochen J. Steil,...
ICIP
2004
IEEE
14 years 10 months ago
An information theoretic framework for image segmentation
In this paper, an information theoretic framework for image segmentation is presented. This approach is based on the information channel that goes from the image intensity histogr...
Jaume Rigau, Miquel Feixas, Mateu Sbert
EMMCVPR
2005
Springer
14 years 2 months ago
Segmentation Informed by Manifold Learning
In many biomedical imaging applications, video sequences are captured with low resolution and low contrast challenging conditions in which to detect, segment, or track features. Wh...
Qilong Zhang, Richard Souvenir, Robert Pless