Abstract
Adaptive reconstructive τ -openings are to employed to recover signal from noise in the binary union-noise model. Openings are parameterized in accordance with Euclidean granulometric representation, the parameter being restricted to nonnegative integers. The filter-parameter space is treated as the countably infinite state space in a Markov chain whose transitions occur at each encounter with a grain when scanning the image. An upward or downward transition occurs when a noise or signal grain, respectively, is misrecognised.
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© 1994 Springer Science+Business Media Dordrecht
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Chen, Y., Dougherty, E.R. (1994). Adaptive Parameterized Openings. In: Serra, J., Soille, P. (eds) Mathematical Morphology and Its Applications to Image Processing. Computational Imaging and Vision, vol 2. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1040-2_5
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DOI: https://doi.org/10.1007/978-94-011-1040-2_5
Publisher Name: Springer, Dordrecht
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