Abstract
A variant of morphological attribute filters is developed, in which the attribute on which filtering is based, is no longer a scalar, as is usual, but a vector. This leads to new granulometries and associated pattern spectra. When the vector-attribute used is a shape descriptor, the resulting granulometries filter an image based on a shape or shape family instead of one or more scalar values.
Keywords
- Mathematical morphology
- connected filters
- multi-scale analysis
- granulometries
- pattern spectra
- vector-attributes
- shape filtering
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Urbach, E.R., Boersma, N.J., Wilkinson, M.H. (2005). Vector-Attribute Filters. In: Ronse, C., Najman, L., Decencière, E. (eds) Mathematical Morphology: 40 Years On. Computational Imaging and Vision, vol 30. Springer, Dordrecht. https://doi.org/10.1007/1-4020-3443-1_10
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DOI: https://doi.org/10.1007/1-4020-3443-1_10
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-3442-8
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