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Proceedings Paper

Morphological Convolution Operations For Image Processing
Author(s): M. M. Gupta; B. De Baets
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Paper Abstract

Mathematical morphological operations are an important class of operations in image processing, development of machine vision systems and other similar applications. In this paper we present a general framework for morphological convolution operations. In the conventional convolution integral (summation) there are several basic mathematical steps (such as shifting, multiplication and integration) which are used to convolve the input signals or images with the ,weighting function (kernel) of a dynamic system. In this study we generalize the operational steps to include the broader meaning of multiplication operation by confluence operation, and integral operation by aggregation operation. Some of these operations are similar to that found in the biological vision system both at the retinal and visual cortex levels. This generalization leads to both deterministic and fuzzy types of morphological operations.

Paper Details

Date Published: 1 November 1989
PDF: 7 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970127
Show Author Affiliations
M. M. Gupta, University of Saskatchewan (Canada)
B. De Baets, University of Saskatchewan (Canada)


Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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