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Proceedings Paper

Mean-absolute-error theorem for computational morphology
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Paper Abstract

Computational mathematical morphology was developed to provide a unified framework for the design of optimal filters: gray-scale- to-gray-scale, gray-scale-to-binary, and binary-to-binary. The present paper provides as representation for the mean-absolute error of increasing filters in terms of the errors resulting from single-erosion filters. It also provides a recursive form of the representation that can be employed in a computer search algorithm to find optimal filters, in particular, optimal restoration filters.

Paper Details

Date Published: 23 June 1993
PDF: 9 pages
Proc. SPIE 2030, Image Algebra and Morphological Image Processing IV, (23 June 1993); doi: 10.1117/12.146680
Show Author Affiliations
Robert P. Loce, Xerox Corp. (United States)
Edward R. Dougherty, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 2030:
Image Algebra and Morphological Image Processing IV
Edward R. Dougherty; Paul D. Gader; Jean C. Serra, Editor(s)

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