Research Article Open Access

Indexing Medical Images Using the Wavelet Transform: Application to Retinal Images

Souad Meziane Tani1 and Abdelhafid Bessaid1
  • 1 University Tlemcen 13000, Algeria

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%.

Current Research in Bioinformatics
Volume 2 No. 2, 2013, 24-27

DOI: https://doi.org/10.3844/ajbsp.2013.24.27

Submitted On: 7 May 2014 Published On: 1 July 2014

How to Cite: 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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Keywords

  • Indexing Image by Content
  • Wavelet Transform
  • Texture Analysis
  • CBIR