A FRAMEWORK FOR MRI IMAGE RETRIEVAL USING CURVELET TRANSFORM AND EUCLIDEAN DISTANCE | Science Publications

Journal of Computer Science

Muttan¹  Rajakumar¹ 

关键词: Content Based Image Retrieval;    Texture Retrieval;    Discrete Curvelet;    Similarity Matching;    Euclidean Distance;   

DOI  :  10.3844/jcssp.2013.285.290

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

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.

【 授权许可】

Unknown