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Indexing and retrieval medical images based on 2×2 DCT and IDS compression

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4 Author(s)
K. S. Saadi ; Centre de Dev. des Technol. Avancees, Alger, Algeria ; A. Zemouri ; Z. Brahimi ; H. Meraoubi

Although digital images indexing and querying techniques have extensively been studied for the last years, few systems are dedicated to medical images today while the need for content-based analysis and retrieval tools increases with the growth of digital medical image databases. In this paper, we present a content based medical images indexing and retrieval technique (CBIR) using the 2×2 discrete cosine transform and information dominance strategy (IDS) compression. The extraction of the feature vectors is based on a 4×4 DCT model proposed in the literature. These features are directly generated from the 2×2 DCT coefficients reorganized in subbands and the search process is carried out: by' calculating cosine distance measure between the signatures of the query image and those stored in the database. The developed 2×2 DCT approach is expected to be very useful for a targeted seeking.

Published in:

5th International Conference on Intelligent Systems Design and Applications (ISDA'05)

Date of Conference:

8-10 Sept. 2005