View Item 

Heuristics for image retrieval using spatial configurations

Access Status
Fulltext not available
Authors
Smyth, Bill
Lam, Chiou
Chen, X.
Maxville, Valerie
Date
2003
Type
Conference Paper

Metadata
Show full item record
Citation
Smyth, W. and Lam, C., and Chen, X., and Maxville, V. 2003. Heuristics for image retrieval using spatial configurations, in Sun, C., and Talbot, H., and Ourselin, S., and Adriaansen, T. (ed), Seventh International Conference on Digital Image Computing: Techniques and Applications (DICTA), pp. 909-918. Sydney, Australia: The University of Queensland.
Source Title
Proceedings of the 7th international conference on digital image computing: techniques and applications
Source Conference
Seventh International Conference on Digital Image Computing: Techniques and Applications (DICTA)
Faculty
Curtin Business School
The Digital Ecosystems and Business Intelligence Institute (DEBII)
School
Digital Ecosystems and Business Intelligence Institute (DEBII)
URI
Collection
Abstract

This paper describes a strategy for content-based image retrievalvia spatial configuration of objects within an image. The proposed strategy locates "pattern" images within "text" images, where the objects in each image are specified only in terms of their pairwise spatial relationships. Thus both pattern and text are represented by square matrices whose elements are drawn from an "alphabet" of spatial relationships. A match is found when the pattern image is identified as a "substructure" of a given text image. Experimental results relating to retrieval of images with low image content are shown. The approach can be used in situations where methods involving features such as colours and texture are inappropriate. We believe that such algorithms would find application in topological/GIS applications where the aerial/satellite images are very similar in terms of low-level image content.