Content-based image retrieval using colour and shape features
- Authors
- Park, Y.; Park, K.; Kim, G.
- Issue Date
- 2013
- Keywords
- CSS; Curvature scale space; Histogram intersection; Image retrieval
- Citation
- International Journal of Computer Applications in Technology, v.48, no.2, pp.155 - 161
- Journal Title
- International Journal of Computer Applications in Technology
- Volume
- 48
- Number
- 2
- Start Page
- 155
- End Page
- 161
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/12204
- DOI
- 10.1504/IJCAT.2013.056023
- ISSN
- 0952-8091
- Abstract
- 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.
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Collections - College of Information Technology > School of Software > 1. Journal Articles
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