MRI Image Retrieval Using Gabor Wavelet Based Texture Features

Abstract

Due to vast number of medical technologies and equipments the medical images are growing in rapid rate. This directs to retrieve efficient medical images based on visual contents. This paper proposed the content based medical image retrieval system by means of Gabor Wavelet to extract texture features of MRI images. Then the K-means clustering and Euclidean distance measure are used to retrieve related images for the query image in medical diagnosis. The experimental results demonstrate the efficiency of this system in clustering and MRI image retrieval against Haralick’s and Texture Spectrum based texture features.