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 |