Review of Content Based Retrieval of Malarial Positive Images from Clinical Database

Abstract

Content-based image retrieval is used for retrieving various medical images from huge database of patients. Query for retrieval of image could be done in form of text or in form of image itself. In this paper four different methods for image retrieval are analyzed. The comparison of all these techniques is done on basis of various parameters e.g. recall, precision, sensitivity and specificity. This paper reviews the method for parasite detection, degree of disease and stage of infection. Major steps involved in CBIR are pre-processing, thresholding, feature extraction, similarity detection and retrieval.