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http://cio.repositorioinstitucional.mx/jspui/handle/1002/1231| INTELLIGENT ALGORITHMS FOR PROCESSING METROLOGICAL IMAGES | |
| Iosvani Moré | |
| Francisco Javier Cuevas-de-la-Rosa | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| Demodulation Metaheuristics Fringe pattern Bezier surfaces Simulate annealing Variable Mesh Optimization | |
| "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." | |
| 2021-11 | |
| Tesis de doctorado | |
| Inglés | |
| León, Guanajuato | |
| Público en general | |
| Moré Quintero, (2021). "Intelligent algorithms for processing metrological images". Tesis de Doctorado en Ciencias (Óptica). Centro de Investigaciones en Óptica, A.C. León, Guanajuato. 82 pp. | |
| ÓPTICA | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | DOCTORADO EN CIENCIAS (ÓPTICA) |
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| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| 18129.pdf | Texto completo / Full text | 4.83 MB | Adobe PDF | Visualizar/Abrir |