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» Improved Block-Based Image Segmentation
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140
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ICPR
2008
IEEE
16 years 3 months ago
Using covariance matrices for unsupervised texture segmentation
In this paper we propose an efficient unsupervised texture segmentation method. We introduce the extension of a state-of-the-art segmentation algorithm, which is exclusively based...
Horst Bischof, Michael Donoser
143
Voted
IVC
2007
104views more  IVC 2007»
15 years 2 months ago
Text segmentation in color images using tensor voting
In natural scene, text elements are corrupted by many types of noise, such as streaks, highlights, or cracks. These effects make the clean and automatic segmentation very difficu...
Jaeguyn Lim, Jonghyun Park, Gérard G. Medio...
ICMCS
2006
IEEE
108views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Image Segmentation using Parallel Self Organizing Tree Map
At present, the researchers are making great effort to search for a general purpose resolution for image segmentation. Most of the approaches we are using now are somewhat ineffic...
Xiaoming Fan, Jonathan Randall, Ivan Lee
119
Voted
DAGM
1993
Springer
15 years 6 months ago
Segmentation of Magnetic Resonance Brain Images using Analog Constraint Satisfaction Neural Networks
The Grey-White Decision Network (GWDN) is presented as an analog constraint satisfaction neural network that segments magnetic resonance brain images. Constraints on signal intens...
Andrew J. Worth, David N. Kennedy
CVPR
2009
IEEE
16 years 9 months ago
Efficient Scale Space Auto-Context for Image Segmentation and Labeling
The Conditional Random Fields (CRF) model, using patch-based classification bound with context information, has recently been widely adopted for image segmentation/ labeling. In...
Jiayan Jiang (UCLA), Zhuowen Tu (UCLA)