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Proceedings Paper

Feature-oriented image sequence processing and 3-D adaptive morphology: fast algorithms and applications
Author(s): Fulin Cheng; Anastasios N. Venetsanopoulos
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Paper Abstract

Three-dimensional adaptive morphological operators are developed for image sequence processing. The theoretical aspect of the operators has been studied in a previous contribution. In this paper, we develop fast algorithms for the implementation of the 3-D operators and investigate their applications. At first, a basic algorithm is described, which is simple but slow. Then a number of propositions are proved, which can be used to modify the basic algorithm to develop fast algorithms. It is shown through experimental results that the algorithms developed are fast and have the potential for real-time video signal processing. The performance of the operators in filtering impulsive noise is also evaluated through experiments. The results show that the operators are suitable for high quality video signal processing.

Paper Details

Date Published: 1 July 1992
PDF: 12 pages
Proc. SPIE 1702, Hybrid Image and Signal Processing III, (1 July 1992); doi: 10.1117/12.60548
Show Author Affiliations
Fulin Cheng, Univ. of Toronto (Canada)
Anastasios N. Venetsanopoulos, Univ. of Toronto (Canada)


Published in SPIE Proceedings Vol. 1702:
Hybrid Image and Signal Processing III
David P. Casasent; Andrew G. Tescher, Editor(s)

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