Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/22380
Title: Feature guide : a statistically based feature selection scheme
Authors: You, J 
Dillon, T
Pissaloux, E
Keywords: Database indexing
Feature extraction
Filtering theory
Image classification
Image enhancement
Image matching
Image representation
Image retrieval
Statistical analysis
Visual databases
Issue Date: 2001
Publisher: IEEE
Source: 2001 International Conference on Image Processing, 2001 : proceedings : 7-10 Oct 2001, Thessaloniki, v. 2, p. 717-720 How to cite?
Abstract: This paper presents a new approach to content-based image retrieval by addressing three primary issues: image feature extraction and representation, similarity measure, and search methods. A statistically based feature selection scheme is introduced to guide the selection of the most appropriate image features for dynamic image indexing and similarity measures. In addition, a fractional discrimination function is proposed to enhance image feature points in conjunction with image decomposition and contextual filtering for image classification. Furthermore, a feature component code is used to facilitate the hierarchical search for the best matching, where images are queried by different features or combinations. The experimental results demonstrate the effectiveness of the proposed method
URI: http://hdl.handle.net/10397/22380
ISBN: 0-7803-6725-1
DOI: 10.1109/ICIP.2001.958594
Appears in Collections:Conference Paper

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