Development of Shape Descriptors Based on Legendre Polynomials and Content-Based Retrieval of Scoliosis Images

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Development of Shape Descriptors Based on Legendre Polynomials and Content-Based Retrieval of Scoliosis Images

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dc.contributor.author Dinesh Kumar, V P
dc.contributor.author Dr. Tessamma, Thomas
dc.date.accessioned 2012-01-28T10:09:27Z
dc.date.available 2012-01-28T10:09:27Z
dc.date.issued 2008-04
dc.identifier.uri http://dyuthi.cusat.ac.in/purl/2699
dc.description Department of Electronics, Cochin University of Science and Technology en_US
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Cochin University of Science and Technology en_US
dc.subject Content-Based Image Retrieval en_US
dc.subject Scoliosis en_US
dc.subject Improved Legendre Moment Descriptor en_US
dc.subject Relevance Feedback Technique en_US
dc.subject Image Processing en_US
dc.subject Electronics en_US
dc.title Development of Shape Descriptors Based on Legendre Polynomials and Content-Based Retrieval of Scoliosis Images en_US
dc.type Thesis en_US


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