Amarnath Gupta, S. Moezzi, Adam L. Taylor, S. Chatterjee, R. Jain, M. Goldbaum, S. Burgess
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Content-based retrieval of ophthalmological images
This paper describes steps towards an information system for the storage and content-based retrieval of ocular fundus images. Based on the Virage Incorporated framework for defining similarity metrics, the authors have developed a number of primitives for the representation of ocular fundus images. A prototype Query By Pictorial Example (QBPE) system yields similarity rankings in approximate agreement with those of a human expert.
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