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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics


  • Editor: Gregory W. Faris
  • Vol. 4, Iss. 6 — May. 26, 2009

Decomposition of biospeckle signals through granulometric size distribution

Eduardo Blotta, Virginia Ballarin, and Hector Rabal  »View Author Affiliations

Optics Letters, Vol. 34, Issue 8, pp. 1201-1203 (2009)

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We present a method for the analysis of dynamic speckle signals based on morphological granulometry. We obtain selected information differentiating the morphological patterns of the temporal history of each pixel through the granulometric size distribution. The method is exemplified by detecting bruised regions on apples and studying the germination of corn seeds. Different levels of activity are observed in the bruised and healthy areas of the apple, within a certain range of the morphological spectrum. Likewise, the activity of the corn seed embryo can also be distinguished from the endosperm area.

© 2009 Optical Society of America

OCIS Codes
(290.5880) Scattering : Scattering, rough surfaces
(100.3008) Image processing : Image recognition, algorithms and filters

ToC Category:

Original Manuscript: October 24, 2008
Revised Manuscript: February 26, 2009
Manuscript Accepted: March 8, 2009
Published: April 8, 2009

Virtual Issues
Vol. 4, Iss. 6 Virtual Journal for Biomedical Optics

Eduardo Blotta, Virginia Ballarin, and Hector Rabal, "Decomposition of biospeckle signals through granulometric size distribution," Opt. Lett. 34, 1201-1203 (2009)

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