Paper
21 September 1999 Active approach for holographic nondestructive testing of satellite fuel tanks
Torsten Merz, Frank Elandaloussi, Dietrich W. Paulus, Wolfgang Osten
Author Affiliations +
Proceedings Volume 3824, Optical Measurement Systems for Industrial Inspection; (1999) https://doi.org/10.1117/12.364258
Event: Industrial Lasers and Inspection (EUROPTO Series), 1999, Munich, Germany
Abstract
In computer vision several views exist how to solve vision problems. The first general methodology was introduced by Marr; he proposed a data-driven and straightforward analysis strategy. Nowadays the concept of active vision introduced by Aloimonos et al. becomes more and more important. In contrast to Marr's philosophy, active vision implies a feedback loop which consists of sensors and active components. In this paper we present a system for the identification of material faults under the surface of a test object. For that purpose the specimen is elastically deformed, then the deformation is made visible using holographic interferometry, and finally flaw parameters are estimated using a model-based approach to analyze interferograms. This is an underconstrained computer vision problem which is regularized using a priori knowledge and an active modification of the experimental setup. More mathematically, this vision task can be seen in the context of inverse problem theory. In this contribution we describe the system and point out how it is related to the methodologies named above. To illustrate the functionality of the system, results are shown from nondestructive testing of satellite fuel tanks.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Torsten Merz, Frank Elandaloussi, Dietrich W. Paulus, and Wolfgang Osten "Active approach for holographic nondestructive testing of satellite fuel tanks", Proc. SPIE 3824, Optical Measurement Systems for Industrial Inspection, (21 September 1999); https://doi.org/10.1117/12.364258
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Inverse problems

Image processing

Satellites

Holography

Computer vision technology

Fringe analysis

Machine vision

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