AN EFFICIENT METHOD OF RETRIEVING MEDICAL IMAGES USING RGB PROJECTION ALGORITHM

Abstract

Medical image retrieval based on user query is a challenging task. A number of methods exist which use text or content of related image for retrieval. In case of content based retrieval, the various features of an image such as color, shape and text  from an  user perspective  are analyzed and those features are searched through the process of segmentation. This type of search may not be suitable for medical images because the accurate difference between images can not be identified with the normal human eye. In this paper, we propose a method, a combination of the Statistical Region Merging (SRM), Discrete Cosine Transform (DCT) and RGB projection to deal with the similarity between  images, the related images of query image are retrieved with similarity percentage and displayed from view. The experimental analysis of this paper shows the  accuracy of  the proposed method is good  compared to other existing features extraction methods.