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Phase-unwrapping algorithm for images with high noise content based on a local histogram

Jaime Meneses, Tijani Gharbi, and Philippe Humbert

Applied Optics, Vol. 44, Issue 7, pp. 1207-1215        doi:10.1364/AO.44.001207

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  • OCIS Codes:
  • (100.2650) Image processing : Fringe analysis
  • (120.3930) Instrumentation, measurement, and metrology : Metrological instrumentation
  • (120.6160) Instrumentation, measurement, and metrology : Speckle interferometry
  • (170.3890) Medical optics and biotechnology : Medical optics instrumentation

Citation
Jaime Meneses, Tijani Gharbi, and Philippe Humbert, "Phase-unwrapping algorithm for images with high noise content based on a local histogram," Appl. Opt. 44, 1207-1215 (2005)
http://www.opticsinfobase.org/abstract.cfm?URI=ao-44-7-1207

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Abstract

We present a robust algorithm of phase unwrapping that was designed for use on phase images with high noise content. We proceed with the algorithm by first identifying regions with continuous phase values placed between fringe boundaries in an image and then phase shifting the regions with respect to one another by multiples of 2pi to unwrap the phase. Image pixels are segmented between interfringe and fringe boundary areas by use of a local histogram of a wrapped phase. The algorithm has been used successfully to unwrap phase images generated in a three-dimensional shape measurement for noninvasive quantification of human skin structure in dermatology, cosmetology, and plastic surgery.

© 2005 Optical Society of America

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Author Affiliations

Philippe Humbert

Centre Hospitalaíre Universitaire Saint-Jacques

Jaime Meneses

Universidad Industrial de Santander

Tijani Gharbi

Université de Franche-Comté

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