Medical Images Retrieval using Clustering Technique

Abstract

The past few years have witnessed an increasing of media rich digital data such as images, videos, and audios. Medical domain is one of the rich images data domains. Retrieving images from large and varied collections of medical images databases is a challenging and important problem. So, image retrieval is one of the fastest and most exciting growing research areas in the field of medical imaging. In this research, clustering technique has been used to group similar medical images in the database together to decrease the retrieval time of the searched image. The searched image has been searched through different clusters to find the nearest cluster, and then the matched image or the nearest set of images has been searched inside that cluster. Different experiments had been applied to study the effect of changing number of clusters in the retrieval time and the correctness of the retrieved images, also the effect of changing threshold value on the correctness of the retrieved images has been studied.
DOI: 10.17762/ijritcc2321-8169.1505135