Abstract
In this work we propose the extension of a well-known class of morphological filters, the Alternating Sequential Filters (ASFs), to include the paradigm of Adaptive-Neighborhood Image Processing, leading to what we have called the Adaptive-Neighborhood Alternating Sequential Filters (ANASFs). By using synthetic and real images to which Gaussian noise was added, we demonstrate the better performance of the open-close and close-open ANASFs against the correspondent ASFs, both from a quantitative and qualitative point of view.
This work was supported by the Brazilian Government (CNPq DCR grant no 300804/95-4).
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© 1996 Kluwer Academic Publishers
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De Mendonça Braga Neto, U. (1996). Alternating Sequential Filters by Adaptive-Neighborhood Structuring Functions. 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_16
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DOI: https://doi.org/10.1007/978-1-4613-0469-2_16
Publisher Name: Springer, Boston, MA
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