Image Retrieval Using Color and Space-Distributed Average Coordinates
Summary :
In this paper, we propose a new content-based image retrieval method by using color and color spatial information of an image. To index images, we use the average coordinates of color distribution to obtain the spatial information of each segmented fuzzy region that is less sensitive to image rotation and object translations in an image. Furthermore, we also propose the alternative to solve the ripple phenomenon, which is occurred in the conventional fuzzy region segmentation algorithm and distorts the information of other regions.
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- IEICE TRANSACTIONS on Information Vol.E85-D No.3 pp.518-524
- Publication Date
- 2002/03/01
- Publicized
- Online ISSN
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- Type of Manuscript
- PAPER
- Category
- Databases
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Hee-Won CHANG, Eung-Kwan KANG, Jong-Soo CHOI, "Image Retrieval Using Color and Space-Distributed Average Coordinates" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 3, pp. 518-524, March 2002, doi: .
Abstract: In this paper, we propose a new content-based image retrieval method by using color and color spatial information of an image. To index images, we use the average coordinates of color distribution to obtain the spatial information of each segmented fuzzy region that is less sensitive to image rotation and object translations in an image. Furthermore, we also propose the alternative to solve the ripple phenomenon, which is occurred in the conventional fuzzy region segmentation algorithm and distorts the information of other regions.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_3_518/_p
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@ARTICLE{e85-d_3_518,
author={Hee-Won CHANG, Eung-Kwan KANG, Jong-Soo CHOI, },
journal={IEICE TRANSACTIONS on Information},
title={Image Retrieval Using Color and Space-Distributed Average Coordinates},
year={2002},
volume={E85-D},
number={3},
pages={518-524},
abstract={In this paper, we propose a new content-based image retrieval method by using color and color spatial information of an image. To index images, we use the average coordinates of color distribution to obtain the spatial information of each segmented fuzzy region that is less sensitive to image rotation and object translations in an image. Furthermore, we also propose the alternative to solve the ripple phenomenon, which is occurred in the conventional fuzzy region segmentation algorithm and distorts the information of other regions.},
keywords={},
doi={},
ISSN={},
month={March},}
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TY - JOUR
TI - Image Retrieval Using Color and Space-Distributed Average Coordinates
T2 - IEICE TRANSACTIONS on Information
SP - 518
EP - 524
AU - Hee-Won CHANG
AU - Eung-Kwan KANG
AU - Jong-Soo CHOI
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2002
AB - In this paper, we propose a new content-based image retrieval method by using color and color spatial information of an image. To index images, we use the average coordinates of color distribution to obtain the spatial information of each segmented fuzzy region that is less sensitive to image rotation and object translations in an image. Furthermore, we also propose the alternative to solve the ripple phenomenon, which is occurred in the conventional fuzzy region segmentation algorithm and distorts the information of other regions.
ER -
English
