INTELLIGENT ALGORITHMS FOR PROCESSING METROLOGICAL IMAGES

"An investigation of complex fringe pattern recovery using evolutionary computation techniques, in particular, the metaheuristics known as Simulated Annealing and Variable Mesh Optimization, is presented. A new system of automatic phase-field partitioning, based on the spatial frequency, is int...

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Detalles Bibliográficos
Autor: Iosvani Moré
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2021
País:México
Institución:Centro de Investigaciones en Óptica
Repositorio:Repositorio Institucional CIO
Idioma:inglés
OAI Identifier:oai:cio.repositorioinstitucional.mx:1002/1231
Acceso en línea:http://cio.repositorioinstitucional.mx/jspui/handle/1002/1231
Access Level:acceso abierto
Palabra clave:info:eu-repo/classification/Autor/Demodulation
info:eu-repo/classification/Autor/Metaheuristics
info:eu-repo/classification/Autor/Fringe pattern
info:eu-repo/classification/Autor/Bezier surfaces
info:eu-repo/classification/Autor/Simulate annealing
info:eu-repo/classification/Autor/Variable Mesh Optimization
info:eu-repo/classification/cti/1
info:eu-repo/classification/cti/22
info:eu-repo/classification/cti/2209
Descripción
Sumario:"An investigation of complex fringe pattern recovery using evolutionary computation techniques, in particular, the metaheuristics known as Simulated Annealing and Variable Mesh Optimization, is presented. A new system of automatic phase-field partitioning, based on the spatial frequency, is introduced, which facilitates the demodulation process, in those models that use a polynomial adjustment. Another important aspect presented is the modeling of the objective function using Bézier surfaces as a fitting function, thus generating a novel approach to this type of problem, thanks to the versatility of Bézier surfaces in the area of Computer Vision."