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Tsallis threshold analysis of digital speckle patterns generated by rough surfaces

2015; Elsevier BV; Volume: 432; Linguagem: Inglês

10.1016/j.physa.2015.02.100

1873-2119

Hellen Cassia Alves Soares, João Batista Meireles, Albertina Castro, J. A. O. Huguenin, Alexandre G. M. Schmidt, Ladário da Silva,

Advanced Measurement and Metrology Techniques

Abstract In this work we report on a study of entropic threshold of digital speckle patterns images produced by rough surfaces using Tsallis entropy. The speckle pattern images were obtained in the diffraction plane at the normal direction and they are the outcome of the incidence of a laser beam in the rough metallic surfaces. The speckle pattern images were segmented in order to verify the sensitivity of the optimal Tsallis entropic threshold value as a function of the surface roughness. We show that the surface roughness can be sensed and tuned by this method.