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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Editor: Franco Gori
  • Vol. 27, Iss. 2 — Feb. 1, 2010
  • pp: 167–173

Noise-bound method for detecting shadow-free scene changes in image sequences

Kenji Irie, Alan McKinnon, Keith Unsworth, and Ian Woodhead  »View Author Affiliations


JOSA A, Vol. 27, Issue 2, pp. 167-173 (2010)
http://dx.doi.org/10.1364/JOSAA.27.000167


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Abstract

Many image processing applications are confounded by both sensor noise and cast shadows. All image sensors add noise to a captured image that can reduce algorithm sensitivity and performance, and global filters or fixed thresholds are often applied to limit their effects. Cast shadows can appear as scene changes and are difficult to adequately detect and remove from images and image sequences. We couple image-noise statistics with a dual-illumination shadow-detection algorithm to provide a novel color-based method for shadow-free scene-change detection whose performance is bound by metamerism and image noise, and has only one variable—the desired confidence interval for noise separation.

© 2010 Optical Society of America

OCIS Codes
(030.4280) Coherence and statistical optics : Noise in imaging systems
(100.2960) Image processing : Image analysis
(150.1135) Machine vision : Algorithms
(100.3008) Image processing : Image recognition, algorithms and filters

ToC Category:
Image Processing

History
Original Manuscript: June 26, 2009
Revised Manuscript: November 3, 2009
Manuscript Accepted: December 15, 2009
Published: January 19, 2010

Citation
Kenji Irie, Alan McKinnon, Keith Unsworth, and Ian Woodhead, "Noise-bound method for detecting shadow-free scene changes in image sequences," J. Opt. Soc. Am. A 27, 167-173 (2010)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-27-2-167


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References

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