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Proceedings Paper

Choquet integral-based morphological operators
Author(s): Ali Koksal Hocaoglu; Paul D. Gader
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Paper Abstract

Gray-scale morphological operators are commonly employed in image processing applications, such as texture analysis, target detection and image enhancement. One major problem with these operators is their sensitivity to noise. Another issue is finding the right structuring elements for a process. This paper describes Choquet integral-based morphological operators. These operators do not necessarily use max and min and therefore they are less sensitive to noise. In this paper, we also introduce a technique to find an optimal gray scale structuring element. These developments yield applications, including but not limited to target detection and multi-layer filtering.

Paper Details

Date Published: 5 March 1999
PDF: 10 pages
Proc. SPIE 3646, Nonlinear Image Processing X, (5 March 1999); doi: 10.1117/12.341101
Show Author Affiliations
Ali Koksal Hocaoglu, Univ. of Missouri/Columbia (United States)
Paul D. Gader, Univ. of Missouri/Columbia (United States)


Published in SPIE Proceedings Vol. 3646:
Nonlinear Image Processing X
Edward R. Dougherty; Jaakko T. Astola, Editor(s)

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