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

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