Dynamic laser speckle: decision models with computational intelligence techniques

MARCELO GUZMAN*A, GUSTAVO J. MESCHINO , ANA L. DAI PRA , MARCELO TRIVI , LUCÍA I. PASSONI , HÉCTOR RABAL

Florianopolis

Congreso; Speckle 2010; 2010

This paper proposes the design of decision models with Computational Intelligence techniques using image sequences of dynamic laser speckle. These models aim to characterize the dynamic of the process evaluated through Temporal History Speckle Patterns (THSP) using a set of available descriptors. The models use those sets selected to improve its effectiveness, depending on the specific application. The techniques of computational intelligence field include using Artificial Neural Networks, Fuzzy Granular Computation, Evolutionary Computation elements such as Genetic Algorithms, among others. The results obtained in experiments such as the evaluation of bacterial chemotaxis, and the estimation of the drying time of coatings are encouraging and significantly improve those obtained using a single descriptor. Keywords: Computational Intelligence, dynamic speckle patterns, neural networks Computational Intelligence, dynamic speckle patterns, neural networks