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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Evaluation of Retrieval System Using Textural Features Based on Wavelet Transform
verfasst von : Lidiya Xavier, I. Thusnavis Bella Mary
Erschienen in: Information Technology and Mobile Communication
Verlag: Springer Berlin Heidelberg
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A content based image retrieval system allows the user to present a query image in order to retrieve images stored in the database according to their similarity to the query image. Content based image retrieval method is used as diagnosis aid in medical fields. In this paper content based image retrieval is used for medical applications. The main objective of this paper is to evaluate the retrieval system using Textural features. The texture features are extracted by using wavelet transform. The method is evaluated on Diabetic Retinopathy Database (DRD). Here the precision rate obtained is about 60% for DRD images.