Generation and fusion of multiple image representations in automatic corrosion detection algorithms used with shipboard tank video inspection systems

Bruce N. Nelson; Paul Slebodnick; Edward J. Lemieux; Matt Krupa; Robert Preisser; Keith Lucas

doi:10.1117/12.458375

6 March 2002 Generation and fusion of multiple image representations in automatic corrosion detection algorithms used with shipboard tank video inspection systems

Bruce N. Nelson, Paul Slebodnick, Edward J. Lemieux, Matt Krupa, Robert Preisser, Keith Lucas

Author Affiliations +

Proceedings Volume 4731, Sensor Fusion: Architectures, Algorithms, and Applications VI; (2002) https://doi.org/10.1117/12.458375
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

Coatings damage in shipboard tanks is presently assessed using Certified Coatings Inspectors. Prior to a coatings inspector entering a tank, the tank must be emptied and certified gas free. These requirements combined with the limited number of certified coatings inspectors available at shipyards and Naval Bases significantly increases the cost and the logistical requirements associated with performing shipboard tank inspections. There is additionally significant variation in damage assessments made by different inspectors. To overcome these difficulties, the Naval Research Laboratory has developed two video inspection systems that obviate requirements for both certifying tanks gas free and for emptying the tank prior to performing an inspection. These systems also obviate requirements for inspector presence during tank inspections. The Naval Research Laboratory has also developed an automatic corrosion detection algorithm. The corrosion detection algorithm currently employs two independent algorithms that individually assess the tank coatings damage. The independent damage assessments are than fused to attain a single coatings damage value. In testing performed to date, it has been shown that the corrosion detection algorithm significantly reduces the effect of inspector-to-inspector variability and provides an accurate assessment of tank coatings damage. This in turn makes it significantly easier to prioritize ship maintenance.

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Bruce N. Nelson, Paul Slebodnick, Edward J. Lemieux, Matt Krupa, Robert Preisser, and Keith Lucas "Generation and fusion of multiple image representations in automatic corrosion detection algorithms used with shipboard tank video inspection systems", Proc. SPIE 4731, Sensor Fusion: Architectures, Algorithms, and Applications VI, (6 March 2002); https://doi.org/10.1117/12.458375

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