Shape-similarity-based retrieval in image database systems

James E. Gary; Rajiv Mehrotra

doi:10.1117/12.58487

1 April 1992 Shape-similarity-based retrieval in image database systems

James E. Gary, Rajiv Mehrotra

Proceedings Volume 1662, Image Storage and Retrieval Systems; (1992) https://doi.org/10.1117/12.58487
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

Abstract

In image database systems, we often want to retrieve images whose contents satisfy certain conditions specified in an iconic query (i.e., queries that involve input images and conditions on them). One type of image data retrieval called shape similarity-based retrieval involves retrieval of images containing one or more shapes similar to the shapes specified in the query or shapes present in the query image. In this paper, a new approach to shape similarity-based retrieval is proposed. The proposed approach is flexible enough to handle images with overlapping or touching parts. In this approach a shape is represented by a set of structural components. Each structural component is encoded as a point in multidimensional space. A similar or identical component (or shape) can be found by organizing the data in any multidimensional point access index structure. A prototype system is described in detail. Some experimental results are also presented to demonstrate the performance of the proposed technique.

Citation Download Citation

James E. Gary and Rajiv Mehrotra "Shape-similarity-based retrieval in image database systems", Proc. SPIE 1662, Image Storage and Retrieval Systems, (1 April 1992); https://doi.org/10.1117/12.58487

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