Detailed Information

Cited 0 time in webofscience Cited 2 time in scopus
Metadata Downloads

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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Information Technology > School of Software > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Gye young photo

Kim, Gye young
College of Information Technology (School of Software)
Read more

Altmetrics

Total Views & Downloads

BROWSE