Share Email Print

Proceedings Paper

Adaptation of gray-scale morphological filters
Author(s): Qiaofei Wang; Yrjo A. Neuvo
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top