A Novel model for fast and robust retrieval of3d bio-images using intelligent vision algorithm

Abstract

Vast growth of multimedia information like images, audio and video on web has induced the scientific community for storage and retrieval of multimedia information more intuitively. Since one image can be interpreted in numerous ways, keyword based searching systems can retrieve the information to a limited extent. Moreover in few domains for example, as in the case of Bio Images, the content information is not even of textual nature. This limitation has led to the requirement for development of Content Based Image Retrieval Systems. Image Retrieval systems which can recognize the objects like the human eyes have been most popular. To construct a good intelligent vision system, high dimension feature vectors of images are required for pattern recognition. Though high dimension feature vectors provides good recall rate, they retard the search process speed. Search time duration increases further with increase in number of images in database. In the present manuscript authors have proposed a model which adequately addresses these constraints and provides a robust and fast retrieval mechanism of Bio Images. © International Science Press.