| dc.contributor | Francisco Javier Cuevas-de-la-Rosa | |
| dc.creator | Iosvani Moré | |
| dc.date | 2021-11 | |
| dc.date.accessioned | 2023-07-21T15:15:54Z | |
| dc.date.available | 2023-07-21T15:15:54Z | |
| dc.identifier | http://cio.repositorioinstitucional.mx/jspui/handle/1002/1231 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7725985 | |
| dc.description | "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." | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.relation | citation: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. | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/4.0 | |
| dc.subject | info:eu-repo/classification/Autor/Demodulation | |
| dc.subject | info:eu-repo/classification/Autor/Metaheuristics | |
| dc.subject | info:eu-repo/classification/Autor/Fringe pattern | |
| dc.subject | info:eu-repo/classification/Autor/Bezier surfaces | |
| dc.subject | info:eu-repo/classification/Autor/Simulate annealing | |
| dc.subject | info:eu-repo/classification/Autor/Variable Mesh Optimization | |
| dc.subject | info:eu-repo/classification/cti/1 | |
| dc.subject | info:eu-repo/classification/cti/22 | |
| dc.subject | info:eu-repo/classification/cti/2209 | |
| dc.subject | info:eu-repo/classification/cti/2209 | |
| dc.title | INTELLIGENT ALGORITHMS FOR PROCESSING METROLOGICAL IMAGES | |
| dc.type | info:eu-repo/semantics/doctoralThesis | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.coverage | León, Guanajuato | |
| dc.audience | generalPublic | |
