Content-based Image Retrieval Using Color and Shape

하정요; 최미영; HYUNG IL CHOI

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 ², HYUNG IL CHOI ³

¹숭실대학교
²숭실대학교
³숭실대학교

ABSTRACT

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

CBIR, CSS, HSI, Histogram Intersection.
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KCI Citation (10)

KJC Korea
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