INVESTIGADORES
PASTORE Juan Ignacio
artículos
Título:
Classification of dynamic speckle signals through granulometric size distribution
Autor/es:
BLOTTA, E.; PASTORE, J.; BALLARIN, V.; RABAL, H.
Revista:
Latin American Applied Research (LAAR)
Editorial:
PLAPIQUI (UNS-CONICET)
Referencias:
Lugar: Bahía Blanca. Argentina; Año: 2009 vol. 39 p. 179 - 183
ISSN:
0327-0793
Resumen:
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 equences 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.
