Medical image storage system for content-based retrieval

Large image databases have been designed and used in various applications and in content-based retrieval systems. Medical Imaging modalities have been developed in the past each uniquely designed to specific imaging modality based on the image pathobiological medium. This paper presents an approach to improve the process of image storage and retrieval based on image data representation model that integrates both metadata and content description. The low level features and the labels associated with the salient objects extracted from the mages are stored in an ORDBMS (Object Relational Database Management systems) using Oracle. Our technique, which combines the image descriptors obtained by a unified approach phases of image segmentation and annotation, has a good time complexity and the experimental results on several image datasets.