Content-based image retrieval using colour and shape features

Authors:
YoungJae Park;KeeHong Park;GyeYoung Kim
Affiliations:
Department of Computing, Soongsil University, Information Science Bldg., 407, Sangdo 1-dong, Dongjak-gu, Seoul, Korea;Department of Computer Information Engineering, National Kunsan University, 1170 Daehangno, Gunsan 573-701, Korea;Department of Computing, Soongsil University, Information Science Bldg., 527, Sangdo 1-dong, Dongjak-gu, Seoul, Korea
Venue:
International Journal of Computer Applications in Technology
Year:
2013

Citing 6
Cited 0

Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes

IEEE Transactions on Pattern Analysis and Machine Intelligence
Color indexing

International Journal of Computer Vision
Color in computer vision

Handbook of pattern recognition & computer vision
WALRUS: a similarity retrieval algorithm for image databases

SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Robustness of shape similarity retrieval under affine transformation

IM'99 Proceedings of the 1999 international conference on Challenge of Image Retrieval
Dynamic two-stage image retrieval from large multimedia databases

Information Processing and Management: an International Journal

Quantified Score

Hi-index	0.00

Visualization

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.