Análisis morfológico de semillas con redes memristivas
Seed morphology analysis is an essential task for studying and classifying seeds, and for any ulterior phytosanitary application such as weed detection. In this work, the analysis of the morphology of seeds is done by means of a memristive grid which is used as an analog image processor in order to...
| Autor: | |
|---|---|
| Tipo de recurso: | tesis de maestría |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2020 |
| País: | México |
| Institución: | Instituto Nacional de Astrofísica, Óptica y Electrónica |
| Repositorio: | Repositorio Institucional del INAOE |
| Idioma: | español |
| OAI Identifier: | oai:inaoe.repositorioinstitucional.mx:1009/1972 |
| Acceso en línea: | http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1972 |
| Access Level: | acceso abierto |
| Palabra clave: | info:eu-repo/classification/Inspec/Memristor info:eu-repo/classification/Inspec/Memristive grids info:eu-repo/classification/Inspec/Edge detection info:eu-repo/classification/Inspec/Parallel processing info:eu-repo/classification/Inspec/Seed morphology info:eu-repo/classification/cti/1 info:eu-repo/classification/cti/22 info:eu-repo/classification/cti/2203 |
| Sumario: | Seed morphology analysis is an essential task for studying and classifying seeds, and for any ulterior phytosanitary application such as weed detection. In this work, the analysis of the morphology of seeds is done by means of a memristive grid which is used as an analog image processor in order to achieve edge detection on images from a seed database. The memristors within the grid are modeled by a memristance expression that is given as a charge-controlled function. Besides, the grid is implemented in a parallelized version with a GPU scheme. The solution of the grid is obtained by a time-domain analysis of the resulting differential equations from the nodal analysis. In a first step, with the aim of highlighting the advantages of such the parallel implementation with respect to its serial counterpart, a set of benchmark images has been treated for edge detection. Not only are the qualitative aspects of the results kept, but also the main quantitative merit figures are almost identical. On the top of this, the parallel memristive grid exhibits a sensible gain in execution times in comparison with the serial grid. The main goal of this work, i.e. the analysis of the morphology of seeds is achieved by resorting to a series of measures on the seed edges. A geometric model of the seed is introduced in the form of an ellipse that is valid for monocots as well as dicots, and its main dimensions are used for establishing a group of merit figures that define the morphology. Finally, several case studies are presented. |
|---|