Decomposition of Bio-speckle signals trough Granulometric Size

EDUARDO BLOTTA; VIRGINIA BALLARIN, HECTOR RABAL

OPTICS LETTERS

Año: 2009

0146-9592

We present a method for the analysis of dynamic speckle signals, based on morphological granulometry. We obtain selected information di®erentiating the morphological patterns of the temporal history of each pixel, through the granulometric size distribution. The method is exempli¯ed detecting bruised regions on apples and studying germination of corn seeds. Di®erent 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.