Method for the recovery of images in databases of Rice grains from visual content
This paper presents a method for detecting and identifying defects in polished rice grains from their scanned image using an expert system. The sample used is designed to contain specimens with the most common defects. Digital image processing techniques were used to identify different types of visi...
- Autores:
-
Varela Izquierdo, Noel
Silva, Jesus
Marin Gonzalez, Fredy
Palencia-Domínguez, Pablo
Hernandez Palma, Hugo
Pineda, Omar
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2021
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7799
- Acceso en línea:
- https://hdl.handle.net/11323/7799
https://doi.org/10.1016/j.procs.2020.03.097
https://repositorio.cuc.edu.co/
- Palabra clave:
- Imágenes
calidad
escáner
Arroz
Sistemas de Visión Artificial (SVA)
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International