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