A Framework for MRI Image Retrieval Using Curvelet Transform and Euclidean Distance
- 1 Anna University, India
Copyright: © 2020 Rajakumar and Muttan . This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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.
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- Content Based Image Retrieval
- Texture Retrieval
- Discrete Curvelet
- Similarity Matching
- Euclidean Distance