The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 이미지의 색상과 색공간정보를 활용한 새로운 콘텐츠 기반 이미지 검색 방법을 제안한다. 이미지를 색인화하기 위해 우리는 색상 분포의 평균 좌표를 사용하여 이미지 회전 및 이미지의 개체 이동에 덜 민감한 각 분할된 퍼지 영역의 공간 정보를 얻습니다. 또한, 기존의 퍼지 영역 분할 알고리즘에서 발생하여 다른 영역의 정보를 왜곡시키는 리플 현상을 해결하기 위한 대안도 제안한다.
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부
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
부
@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},}
부
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 -