Content-based image retrieval using colour and shape features

Citations

SCOPUS

3

초록

In this paper, we propose an image retrieval method using colour and shape features. We suggest the content-based image retrieval (CBIR) method using colour and shape information. Using just one type of feature information may be less accurate than using more than two types of feature information. Therefore, many image retrieval systems use many types of feature information, such as colour and shape. We use two features: HSI colour information, especially the hue value, and curvature scale space (CSS) shape information. We search the candidate image from a database that includes the feature information of many images. Copyright © 2013 Inderscience Enterprises Ltd.

키워드

CSS; Curvature scale space; Histogram intersection; Image retrieval
제목
Content-based image retrieval using colour and shape features
저자
Park, Y.; Park, K.; Kim, G.
DOI
10.1504/IJCAT.2013.056023
발행일
2013
유형
Article
저널명
International Journal of Computer Applications in Technology
권
48
호
2
페이지
155 ~ 161