Title :
The Content-Based Image Retrieval Method Using Multiple Features
Author :
Ha, Jeong-Yo ; Kim, Gye-Young ; Choi, Hyung-Il
Author_Institution :
Sch. of Media, Soongsil Univ., Seoul
Abstract :
In this paper, we propose an image retrieval method using color feature and shape feature. 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 information 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. As a result, we show that good results can be obtained by color and shape feature. When we use two features, we could approach better result.
Keywords :
content-based retrieval; feature extraction; image colour analysis; image retrieval; HSI color information; color feature information; content-based image retrieval system; curvature scale space; hue value; shape feature information; shape information; Cascading style sheets; Content based retrieval; Data mining; Feature extraction; Image databases; Image retrieval; Image storage; Information management; Information retrieval; Shape; CSS; Histogram Intersection; Image retrieval;
Conference_Titel :
Networked Computing and Advanced Information Management, 2008. NCM '08. Fourth International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
978-0-7695-3322-3
DOI :
10.1109/NCM.2008.220