Content-based retrieval of ophthalmological images
- 24 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3, 703-706
- https://doi.org/10.1109/icip.1996.560765
Abstract
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.Keywords
This publication has 2 references indexed in Scilit:
- Automated diagnosis and image understanding with object extraction, object classification, and inferencing in retinal imagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- SQLf: a relational database language for fuzzy queryingIEEE Transactions on Fuzzy Systems, 1995