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Fractal Based Approaches to Morphological Analysis of Fundus Eye Images

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Book cover Computer Recognition Systems

Part of the book series: Advances in Soft Computing ((AINSC,volume 30))

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Abstract

Methodological aspects of quantitative morphological analysis of digital fundus eye images are described, both in the spatial and frequency domains. They refer to the notion of fractal dimension as a measure of image texture complexity thus providing an additional descriptor of the image, which may be useful for medical data classifications.

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Author information

Authors and Affiliations

  1. Faculty of Mathematics and Computer Science, Nicolaus Copernicus University, 87-100, Torun, ul. Chopina 12/18, Poland

    Maria Berndt-Schreiber

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  1. Maria Berndt-Schreiber
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Editors and Affiliations

  1. Faculty of Electronics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Marek Kurzyński , Edward Puchała , Michał Woźniak  & Andrzej żołnierek , ,  & 

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© 2005 Springer-Verlag Berlin Heidelberg

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Berndt-Schreiber, M. (2005). Fractal Based Approaches to Morphological Analysis of Fundus Eye Images. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_56

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  • DOI: https://doi.org/10.1007/3-540-32390-2_56

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25054-8

  • Online ISBN: 978-3-540-32390-7

  • eBook Packages: EngineeringEngineering (R0)

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