Research Article Open Access

A Framework for MRI Image Retrieval Using Curvelet Transform and Euclidean Distance

Rajakumar1 and Muttan1
  • 1 Anna University, India

Abstract

Content Based Image Retrieval (CBIR) system supports users to retrieve relevant medical images based on their features. Current content based image retrieval systems are incapable of providing exact results to the users. To address this problem a consistent feature extraction method is required for content based medical image retrieval system to extract similar features from the images. In this study discrete curvelet based feature extraction technique is proposed to retrieve similar images and the similarity distance is calculated by using Euclidean distance. The proposed method gives better precision and recall rate. Experimental results on a database of 200 MRI images.

Journal of Computer Science
Volume 9 No. 3, 2013, 285-290

DOI: https://doi.org/10.3844/jcssp.2013.285.290

Submitted On: 21 January 2013 Published On: 12 April 2013

How to Cite: Rajakumar, & Muttan, (2013). A Framework for MRI Image Retrieval Using Curvelet Transform and Euclidean Distance. Journal of Computer Science, 9(3), 285-290. https://doi.org/10.3844/jcssp.2013.285.290

  • 2,509 Views
  • 2,789 Downloads
  • 7 Citations

Download

Keywords

  • Content Based Image Retrieval
  • Texture Retrieval
  • Discrete Curvelet
  • Similarity Matching
  • Euclidean Distance