A Review of Low Level Visual Features Fora Content Based Medical Image Retrieval System

Medical imaging is a precious and essential tool in healthcare systems, helps the physicians to emanate good quality of treatment. The advancement in medical Technology has resulted in a huge number of medical images which are stored in a database for future purpose. It is very imperative to build an effective retrieval system which browse through entire database in diagnosing the various diseases, helping the therapeutic process and in supporting the medical decision makingprocess. Content based Image Retrieval (CBIR) assists in retrieving the required medical images from a huge database on the basis of their visual features like shape, color and texture. Medical images are generally represented in gray level rather than color. Feature extraction plays an important role in an ever-increasing the performance of the medical image retrieval system. This paper presents a various multiple feature extraction techniques for effective content based medical image retrieval system.