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Proceedings Paper

Adaptation of gray-scale morphological filters
Author(s): Qiaofei Wang; Yrjo A. Neuvo
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Paper Abstract

Grayscale morphology has been widely used in image processing, especially in noise removal. In this paper, we find an optimal solution for designing a grayscale morphological filter. An adaptive algorithm is developed for determining, from a given class of grayscale morphological filters, a filter which minimizes the mean square error between its output and a desired process. The adaptation using the conventional least mean square algorithm optimizes the grayscale structuring element in a given search area. The performance of noise removal is compared to another class of nonlinear filters, i.e., adaptive and nonadaptive stack-based filters.

Paper Details

Date Published: 21 May 1993
PDF: 6 pages
Proc. SPIE 1902, Nonlinear Image Processing IV, (21 May 1993); doi: 10.1117/12.144744
Show Author Affiliations
Qiaofei Wang, Tampere Univ. of Technology (Finland)
Yrjo A. Neuvo, Tampere Univ. of Technology (Finland)


Published in SPIE Proceedings Vol. 1902:
Nonlinear Image Processing IV
Edward R. Dougherty; Jaakko T. Astola; Harold G. Longbotham, Editor(s)

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