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Proceedings Paper

Effect of algorithm fusion and aggregation methodologies on the performance of a corrosion detection algorithm
Author(s): Bruce N. Nelson; Paul Slebodnick; William Groeninger; Edward J. Lemieux
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Paper Abstract

Over the last several years, the Naval Research Laboratory has been developing corrosion detection algorithms for assessing coatings conditions in tank and voids on US Navy Ships. The corrosion detection algorithm is based on four independent algorithms; two edge detection algorithms, a color algorithm and a grayscale algorithm. Of these four algorithms, the color algorithm is the key algorithm and to some extent drives overall algorithm performance. The four independent algorithm results are fused with other features to first generate an image level assessment of coatings damage. The image level results are next aggregated across a tank or void image set to generate a single coatings damage value for the tank or void being inspected. The color algorithm, algorithm fusion methodology and aggregation algorithm components are key to the overall performance of the corrosion detection algorithm. This paper will describe modifications that have been made in these three algorithm components to increase the corrosion detection algorithm’s overall operating range, to improve the algorithm’s ability to assess low coatings damage and to improve the accuracy of coatings damage classification at both the individual image as well as at the whole tank level.

Paper Details

Date Published: 28 March 2005
PDF: 12 pages
Proc. SPIE 5813, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2005, (28 March 2005); doi: 10.1117/12.603948
Show Author Affiliations
Bruce N. Nelson, Geo-Centers, Inc. (United States)
Paul Slebodnick, Naval Research Lab. (United States)
William Groeninger, Naval Research Lab. (United States)
Edward J. Lemieux, Naval Research Lab. (United States)

Published in SPIE Proceedings Vol. 5813:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2005
Belur V. Dasarathy, Editor(s)

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