Reconocimiento de imágenes con Redes Convolucionales en MATLAB
DOI:
https://doi.org/10.64351/rdynamikos.Vol1.N1.art4Palabras clave:
Redes neuronales convolucionales, Aprendizaje Profundo, Visión artificialResumen
Las técnicas de visión artificial han tenido un gran avance en el mundo gracias a la fiabilidad de su respuesta reconociendo patrones superando en algunos casos la visión humana. Estas técnicas se han utilizado de reconocimiento de números, personas, rostros, y hasta en la conducción autónoma. En este caso se pretende abordar la utilización de un método de aprendizaje profundo con el uso del software Matlab, el cual con un pequeño algoritmo y una base de datos relativamente pequeña de imágenes (algunas centenas), se logre entrenar una red neuronal convoluciones que en este caso particular serán dos categorías, semáforos en verde y en rojo, evidenciando una metodología sencilla la cual puede ser utilizada para el reconocimiento de casi cualquier imagen con una grado de asertividad de casi el 90%.
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Derechos de autor 2026 Revista Científica Dynamikos
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