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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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
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