Development of shape descriptors based on legendre polynomials and content based retrieval of scoliosis images

Abstract

The wealth of information available freely on the web and medical image databases poses a major problem for the end users: how to find the information needed? Content Based Image Retrieval is the obvious solution. A standard called MPEG-7 was evolved to address the interoperability issues of content-based search. The work presented in this thesis mainly concentrates on developing new shape descriptors and a framework for content based retrieval of scoliosis images. New region-based and contour based shape descriptor is developed based on orthogonal Legendre polymomials. A novel system for indexing and retrieval of digital spine radiographs with scoliosis is presented.