چکیده (انگلیسی):

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.