A software framework for combining iconic and semantic content for retrieval of histological images

Content-based Image Retrieval (CBIR) is becoming an important component of a database system as it allows retrieval of images by objective measures such as color and texture. Nevertheless, retrieval of images intelligently by computer is still not common. In addition, different users might have different requirements so we need to address their needs by providing a more flexible retrieval mechanism. Finally, we might want to add CBIR functionality to existing system but none of the existing techniques is able to do this easily because they usually rely on one single environment. In this paper, we describe the design of a histological image retrieval system (I-Browse) that addresses the above three issues.