Dinesh Kumar, V P; Dr. Tessamma, Thomas(Cochin University of Science and Technology, April , 2008)
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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.
Description:
Department of Electronics,
Cochin University of Science and Technology
Devarajan, G; Dr.Sridhar, C S(Cochin University of Science and Technology, January 30, 1987)
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Abstract:
Median filtering is a simple digital non—linear signal
smoothing operation in which median of the samples in a sliding
window replaces the sample at the middle of the window. The
resulting filtered sequence tends to follow polynomial
trends in the original sample sequence. Median filter preserves
signal edges while filtering out impulses. Due to this property,
median filtering is finding applications in many areas of image
and speech processing. Though median filtering is simple to
realise digitally, its properties are not easily analysed with
standard analysis techniques,
Description:
Department of Electronics, Cochin
University of Science and Technology
Kannan, Balakrishnan; Pramod, K V; Jomy, John(IEEE, March 23, 2011)
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Abstract:
Optical Character Recognition plays an important role
in Digital Image Processing and Pattern Recognition. Even
though ambient study had been performed on foreign languages
like Chinese and Japanese, effort on Indian script is still
immature. OCR in Malayalam language is more complex as it is
enriched with largest number of characters among all Indian
languages. The challenge of recognition of characters is even high
in handwritten domain, due to the varying writing style of each
individual. In this paper we propose a system for recognition of
offline handwritten Malayalam vowels. The proposed method
uses Chain code and Image Centroid for the purpose of
extracting features and a two layer feed forward network with
scaled conjugate gradient for classification
Description:
Emerging Trends in Electrical and Computer Technology (ICETECT), 2011 International Conference on