Texture Content Based Mri Image Retrieval Using Gabor Wavelet and Progressive Retrieval Strategy

Due to the vast number of medical technologies and equipments the medical images are growing at a 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 scan images. Then the k-means clustering, progressive retrieval strategy and Euclidean distance are used to retrieve best MRI scan images for the query image in medical diagnosis. The experimental results demonstrate the efficiency of this system in clusters accuracy and best MRI scan image retrieval against standard Haralick’s, texture spectrum and Gabor wavelet based texture features.