Abstract
In this paper we establish an attribute-based approach to openings and idempotent thinnings, and we provide an efficient algorithm for their implementation on grey-scale images. The use of non-increasing-shape attributes is advocated because they allow the use of shape descriptors such as compactness and eccentricity to be applied to transform grey-scale images. Applications are then given to illustrate the proposed operators.
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Breen, E., Jones, R. (1996). An Attribute-Based Approach to Mathematical Morphology. 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_6
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DOI: https://doi.org/10.1007/978-1-4613-0469-2_6
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-8063-4
Online ISBN: 978-1-4613-0469-2
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