Abstract
Since J.W. Tukey introduced median filters in signal processing ([1]), a vast variety of nonlinear filters and families of nonlinear filters for image processing has been suggested. In order to ease navigating in this ocean of filters we will provide in this chapter a classification of the filters described in the literature and describe some most useful filters for image denoising, enhancement and segmentation. The classification is aimed at revealing general common principles in the filter design and their efficient implementation in serial computers and parallel computational networks.
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Yaroslavsky, L. (2004). Nonlinear Filters in Image Processing. In: Digital Holography and Digital Image Processing. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-4988-5_12
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DOI: https://doi.org/10.1007/978-1-4757-4988-5_12
Publisher Name: Springer, Boston, MA
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