Indexing Medical Images Using the Wavelet Transform: Application to Retinal Images
Souad Meziane Tani1 & Abdelhafid Bessaid1 Show affiliations
- University Tlemcen 13000, Algeria
Current Research in Bioinformatics, Volume 2, Issue 2, pp. 24–27 · doi.org/10.3844/ajbsp.2013.24.27
Abstract
Content-Based Image Retrieval Systems (CBIR) provide effective support to the doctor to find relevant images using their visual content. Current medical systems are unable to provide accurate and precise results. To solve this problem, effective indexing algorithms are required to extract the contents of the images. In this study, the method of indexing image from the energy coefficients of the wavelet transform is tested on the basis of retinal images to find similar images and the results are promising; the search precision is greater than 60%.
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Tani, S. M. & Bessaid, A. (2013). Indexing Medical Images Using the Wavelet Transform: Application to Retinal Images. Current Research in Bioinformatics, 2(2), 24–27. https://doi.org/10.3844/ajbsp.2013.24.27
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