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Proceedings Paper

Efficient retrieval in medical image databases
Author(s): Hemant D. Tagare
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Paper Abstract

Interaction with image databases is facilitated by using example images in a query. Query-by-example often requires a comparison of the features in the query image with features of the database image. The appropriate comparison function need not be the Euclidean distance between the two features - several non-Euclidean similarity measures have been shown to be visual more appropriate. This paper considers the problem of efficient retrieval of images using such similarity measures. A classical k-d tree based indexing algorithm is extended to such similarity measures and experimental performance evaluation of the algorithm is also provided.

Paper Details

Date Published: 4 October 2000
PDF: 5 pages
Proc. SPIE 4121, Mathematical Modeling, Estimation, and Imaging, (4 October 2000); doi: 10.1117/12.402444
Show Author Affiliations
Hemant D. Tagare, Yale Univ. (United States)

Published in SPIE Proceedings Vol. 4121:
Mathematical Modeling, Estimation, and Imaging
David C. Wilson; Hemant D. Tagare; Fred L. Bookstein; Francoise J. Preteux; Edward R. Dougherty, Editor(s)

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