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Ultrasound Biomicroscopy Glaucoma Images Analysis Based on Rough Set and Pulse Coupled Neural Network

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Foundations of Computational Intelligence Volume 2

Part of the book series: Studies in Computational Intelligence ((SCI,volume 202))

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Summary

The objective of this book chapter is to present the rough sets and pulse coupled neural network scheme for Ultrasound Biomicroscopy glaucoma images analysis. To increase the efficiency of the introduced scheme, an intensity adjustment process is applied first using the Pulse Coupled Neural Network (PCNN) with a median filter. This is followed by applying the PCNN-based segmentation algorithm to detect the boundary of the interior chamber of the eye image. Then, glaucoma clinical parameters have been calculated and normalized, followed by application of a rough set analysis to discover the dependency between the parameters and to generate set of reduct that contains minimal number of attributes. Finally, a rough confusion matrix is designed for discrimination to test whether they are normal or glaucomatous eyes. Experimental results show that the introduced scheme is very successful and has high detection accuracy.

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Author information

Authors and Affiliations

  1. Physics Department, Faculty of Science, Ain Shams University, Abbassia, Cairo, 11566, Egypt

    El-Sayed A. El-Dahshan & Amr Radi

  2. Information Technology Department, FCI, Cairo University, 5 Ahamed Zewal Street, Orman, Giza, Egypt

    Aboul Ella Hassanien

  3. Department of Computer Science, Birla Institute of Technology International Center, Mauritius,  

    Soumya Banerjee

Authors
  1. El-Sayed A. El-Dahshan
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  2. Aboul Ella Hassanien
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  3. Amr Radi
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  4. Soumya Banerjee
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Editor information

Editors and Affiliations

  1. Faculty of Computers and Information Information Technology Department, Cairo University, 5 Ahmed Zewal St., Orman, Giza

    Aboul-Ella Hassanien

  2. Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, P.O. Box 2259, 98071-2259, Auburn,Washington, USA

    Ajith Abraham

  3. Soft Computing and Intelligent Information Systems Department of Computer Science and Artificial Intelligence ETS de Ingenierias Informática y de Telecomunicación, University of Granada, E-18071, Granada, Spain

    Francisco Herrera

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© 2009 Springer-Verlag Berlin Heidelberg

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El-Dahshan, ES.A., Hassanien, A.E., Radi, A., Banerjee, S. (2009). Ultrasound Biomicroscopy Glaucoma Images Analysis Based on Rough Set and Pulse Coupled Neural Network. In: Hassanien, AE., Abraham, A., Herrera, F. (eds) Foundations of Computational Intelligence Volume 2. Studies in Computational Intelligence, vol 202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01533-5_11

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  • DOI: https://doi.org/10.1007/978-3-642-01533-5_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01532-8

  • Online ISBN: 978-3-642-01533-5

  • eBook Packages: EngineeringEngineering (R0)

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