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» Textural Features and Relevance Feedback for Image Retrieval
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ICPR
2006
IEEE
16 years 27 days ago
Texture Image Retrieval Using Novel Non-separable Filter Banks Based on Centrally Symmetric Matrices
Though millions of images are stored in a large digital image library today, the user can not access or make full use of these image information unless the digital image library i...
Patrick Shen-Pei Wang, Xinge You, Yuan Yan Tang, Y...
EUROCAST
2003
Springer
134views Hardware» more  EUROCAST 2003»
15 years 5 months ago
Volumetric Texture Description and Discriminant Feature Selection for MRI
This paper considers the problem of texture description and feature selection for the classification of tissues in 3D Magnetic Resonance data. Joint statistical measures like grey...
Abhir Bhalerao, Constantino Carlos Reyes-Aldasoro
CIVR
2007
Springer
166views Image Analysis» more  CIVR 2007»
15 years 6 months ago
A content-based image retrieval scheme allowing for robust automatic personalization
The retrieval performance of content-based image retrieval (CBIR) systems is often disappointingly low, mainly due to the subjectivity of human perception. Relevance feedback (RF)...
Sotirios Chatzis, Anastasios D. Doulamis, Theodora...
CVPR
2005
IEEE
16 years 1 months ago
A Unified Optimization Based Learning Method for Image Retrieval
In this paper, an optimization based learning method is proposed for image retrieval from graph model point of view. Firstly, image retrieval is formulated as a regularized optimi...
Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying M...
ICIP
2001
IEEE
16 years 1 months ago
Support vector machine learning for image retrieval
In this paper, a novel method of relevance feedback is presented based on Support Vector Machine learning in the content-based image retrieval system. A SVM classifier can be lear...
Lei Zhang, Fuzong Lin, Bo Zhang