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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.