Efficient retrieval in medical image databases

Hemant D. Tagare

doi:10.1117/12.402444

4 October 2000 Efficient retrieval in medical image databases

Hemant D. Tagare

Proceedings Volume 4121, Mathematical Modeling, Estimation, and Imaging; (2000) https://doi.org/10.1117/12.402444
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

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.

Citation Download Citation

Hemant D. Tagare "Efficient retrieval in medical image databases", Proc. SPIE 4121, Mathematical Modeling, Estimation, and Imaging, (4 October 2000); https://doi.org/10.1117/12.402444

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