IEICE TRANSACTIONS on Fundamentals
Content-Based Image Retrieval Based on Scale-Space Theory
Summary :
A content-based image retrieval scheme based on scale-space theory is proposed. Instead of considering all scales for image retrieval, the proposed algorithm utilizes a modified histogram intersection method to compute the relative scale between a query image and a candidate image. The proposed method has been applied to various images and the performance improvement has been verified.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E82-A No.6 pp.1026-1028
- Publication Date
- 1999/06/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section LETTER (Special Section of Papers Selected from 1998 International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC '98))
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Young Shik MOON, Jung Bum OH, "Content-Based Image Retrieval Based on Scale-Space Theory" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 6, pp. 1026-1028, June 1999, doi: .
Abstract: A content-based image retrieval scheme based on scale-space theory is proposed. Instead of considering all scales for image retrieval, the proposed algorithm utilizes a modified histogram intersection method to compute the relative scale between a query image and a candidate image. The proposed method has been applied to various images and the performance improvement has been verified.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_6_1026/_p
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@ARTICLE{e82-a_6_1026,
author={Young Shik MOON, Jung Bum OH, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Content-Based Image Retrieval Based on Scale-Space Theory},
year={1999},
volume={E82-A},
number={6},
pages={1026-1028},
abstract={A content-based image retrieval scheme based on scale-space theory is proposed. Instead of considering all scales for image retrieval, the proposed algorithm utilizes a modified histogram intersection method to compute the relative scale between a query image and a candidate image. The proposed method has been applied to various images and the performance improvement has been verified.},
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - Content-Based Image Retrieval Based on Scale-Space Theory
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1026
EP - 1028
AU - Young Shik MOON
AU - Jung Bum OH
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E82-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 1999
AB - A content-based image retrieval scheme based on scale-space theory is proposed. Instead of considering all scales for image retrieval, the proposed algorithm utilizes a modified histogram intersection method to compute the relative scale between a query image and a candidate image. The proposed method has been applied to various images and the performance improvement has been verified.
ER -
English
