Paper
31 March 1998 Phase unwrapping for flaw detection: is it necessary?
Benjamin A. Bard
Author Affiliations +
Abstract
The phase-stepping technique is becoming a common enhancement to digital shearography and holography systems used in NDE. Capturing a series of phase-stepped images, rather than just a pair, allows the calculation of surface deformation at every pixel; data from a equispaced, spatially dense set rather than a sparse collection of nonuniformly spaced points. Phase maps are calculated modulo 2(pi) . If surface deformations are of sufficiently high amplitude, the phase will appear 'wrapped'. The next logical step is to 'unwrap' the phase and make it continuous again. For flaw detection purposes, however, this difficult step should be questioned; it is sometimes not only unnecessary, but deleterious to the flaw detection process. Further image processing steps must sometimes be applied to the unwrapped phase in order to expose flaws once readily visible in the wrapped phase map. These steps, only applicable to an unwrapped phase map, can also serve to uncover some flaws not previously visible in the wrapped phase map. Finally, effective data visualization plays an important role in conveying information role in conveying information embedded in the wrapped phase map. Finally, effective data visualization plays an important role in conveying information embedded in the wrapped or unwrapped phase maps. This paper introduces these issues and gives several examples, wrapped and unwrapped, with varying excitation type, material, flaw type, and image processing.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Benjamin A. Bard "Phase unwrapping for flaw detection: is it necessary?", Proc. SPIE 3397, Nondestructive Evaluation of Aging Aircraft, Airports, and Aerospace Hardware II, (31 March 1998); https://doi.org/10.1117/12.305048
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KEYWORDS
Fringe analysis

Shearography

Signal to noise ratio

Composites

Speckle

Nondestructive evaluation

Image processing

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