Content-based Image Retrieval Using Color and Shape

하정요; 최미영; HYUNG IL CHOI

KJC Korea
Journal Central

Journal of The Korea Society of Computer and Information 2021 KCI Impact Factor : 0.62

Korean | English

pISSN : 1598-849X / eISSN : 2383-9945

http://journal.kci.go.kr/jksci

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Content-based Image Retrieval Using Color and Shape

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2008, 13(1), pp.117-124

Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science

하정요 ¹, 최미영 ¹, HYUNG IL CHOI ¹

¹숭실대학교

ABSTRACT
열림/닫힘 버튼

We suggest CBIR(Content Based Image Retrieval) method using color and shape information. Using just one feature information may cause inaccuracy compared with using more than two feature information. Therefore many image retrieval system use many feature informations like color, shape and other features. We use two feature, HSI color information especially Hue value and CSS(Curvature Scale Space) as shape information. We search candidate image form DB which include feature information of many images. When we use two features, we could approach better result.
KEYWORDS
열림/닫힘 버튼

CBIR, CSS, HSI, Histogram Intersection.

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* 2021년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

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