Abstract
Mathematical Morphology (MM) is a powerful methodology for the quantitative analysis of geometrical structures. It consists of a broad and coherent collection of theoretical concepts, nonlinear signal operators, and algorithms aiming at extracting from images or other geometrical objects information related to their shape and size. Its mathematical origins stem from set theory, lattice algebra, and integral and stochastic geometry.
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© 1996 Kluwer Academic Publishers
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Maragos, P., Schafer, R.W., Butt, M.A. (1996). Introduction. In: Maragos, P., Schafer, R.W., Butt, M.A. (eds) Mathematical Morphology and its Applications to Image and Signal Processing. Computational Imaging and Vision, vol 5. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0469-2_1
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DOI: https://doi.org/10.1007/978-1-4613-0469-2_1
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-8063-4
Online ISBN: 978-1-4613-0469-2
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