Abstract

BLOTTA, E.L.; PASTORE, J.; BALLARIN, V.  and  RABAL, H.. Classification of dynamic speckle signals through granulometric size distribution. Lat. Am. appl. res. [online]. 2009, vol.39, n.2, pp.179-183. ISSN 0327-0793.

In this work we present a method based on granulometry, a tool derived from mathematical morphology, to classify dynamic speckle signals. Through the use of morphological operators we obtain a granulometric size distribution. From this distribution we obtain the related moments used as parameters to classify the image. This technique enables the detection of differential activity in samples of sequences of dynamic speckle in space-time coordinates. The analysis of the method is illustrated through the detection of bruised regions in fruits. Finally, we present a discussion of the results.

Keywords : Dynamic Speckle; Mathematical Morphology; Granulometry; Opening Based Granulometric Size Distribution.

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