Adaptation of gray-scale morphological filters

Qiaofei Wang; Yrjo A. Neuvo

doi:10.1117/12.144744

21 May 1993 Adaptation of gray-scale morphological filters

Qiaofei Wang, Yrjo A. Neuvo

Proceedings Volume 1902, Nonlinear Image Processing IV; (1993) https://doi.org/10.1117/12.144744
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

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.

Citation Download Citation

Qiaofei Wang and Yrjo A. Neuvo "Adaptation of gray-scale morphological filters", Proc. SPIE 1902, Nonlinear Image Processing IV, (21 May 1993); https://doi.org/10.1117/12.144744

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