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A Voting Procedure Supported by a Neural Validity Classifier for Optic Disk Detection

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Emerging Intelligent Computing Technology and Applications (ICIC 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 304))

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Abstract

In this work a Voting Procedure supported by a Neural Validity Classifier for assuring a correct localization of the reference point of optic disk in retinal imaging is proposed. A multiple procedure with multiple resulting points is briefly described. A Neural Network behaving as a Validity Classifier of regular/abnormal solutions is then synthesized to validate the adequacy of the resulting midpoints as candidate reference points. A Voting Procedure, supported by the synthesized Neural Validity Classifier, is successively performed, by comparing only candidate pixels classified as valid ones. In this way, the most suitable and reliable candidate can be voted to be adopted as the reference point of OD in successive retinal analyses.

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Authors and Affiliations

  1. Dept. of Electrical and Electronic Engineering, Politecnico di Bari, Via G. Re David n. 200, 70125, Bari, Italy

    Leonarda Carnimeo, Anna Cinzia Benedetto & Giuseppe Mastronardi

Authors
  1. Leonarda Carnimeo
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  2. Anna Cinzia Benedetto
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  3. Giuseppe Mastronardi
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Editor information

Editors and Affiliations

  1. Machine Learning and Systems Biology Laboratory, School of Electronics and Information Engineering, Tongji University, Shanghai, China

    De-Shuang Huang

  2. Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, 208016, Kanpur, India

    Phalguni Gupta

  3. Department of Chemistry, University of Louisville, 2320 South Brook Street, 40292, Louisville, Kentucky, USA

    Xiang Zhang

  4. School of Electrical, Computer & Telecommunications Engineering, The University of Wollongong,, 2522, North Wollongong, NSW, Australia

    Prashan Premaratne

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© 2012 Springer-Verlag Berlin Heidelberg

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Carnimeo, L., Benedetto, A.C., Mastronardi, G. (2012). A Voting Procedure Supported by a Neural Validity Classifier for Optic Disk Detection. In: Huang, DS., Gupta, P., Zhang, X., Premaratne, P. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2012. Communications in Computer and Information Science, vol 304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31837-5_68

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  • DOI: https://doi.org/10.1007/978-3-642-31837-5_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31836-8

  • Online ISBN: 978-3-642-31837-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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