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International Journal of Technology Enhancements and Emerging Engineering Research (ISSN 2347-4289)
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IJTEEE >> Volume 2 - Issue 4, April 2014 Edition



International Journal of Technology Enhancements and Emerging Engineering Research  
International Journal of Technology Enhancements and Emerging Engineering Research

Website: http://www.ijteee.org

ISSN 2347-4289



Glaucomatous Image Classification Using Wavelet Based Energy Features And PNN

[Full Text]

 

AUTHOR(S)

A. Iyyanarappan, G.Tamilpavai

 

KEYWORDS

Keywords: 2D-Discretewavelet transforms,Glaucoma, Feature extraction, Neural Network.

 

ABSTRACT

Abstract: Glaucoma is the second leading cause of blindness worldwide. As glaucoma progresses, more optic nerve tissue is lost and the optic cup grows which leads to vision loss. Glaucomatous image classification can be efficiently performed using the texture features of an image. This paper focused on recent Glaucoma Classification techniques in Computer-Aided Diagnosis(CAD).Feature extraction is necessary to reduce the original dataset by measuring certain properties to make decision process easier during classification. Texture has been widely involved in many real life applications such as remote sensingbiomedical image processing, content based image retrieval. Representatives techniques and algorithm are explained to provide good idea about classification of fundus image which deals with 1how medical images could be analyzed, processed, feature extracted by 2D-DWT methods and classified by Neural Network(NN), 2how the techniques above could be expanded further to resolve problem relevant to Glaucoma image.

 

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