Application of Fuzzy Logic in the Edge Detection of Real Pieces in Controlled Scenarios

José Daniel Vargas-Proa, Carlos Fabián García-Martínez, Miroslava Cano-Lara, Horacio Rostro-González

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

Industrial processes such as manufacturing and machining parts, fault detection and quality control are some of the areas of study that encompass computational vision techniques, image processing and currently fuzzy logic. Particularly, the edge detection of objects in captured images is a technique widely used in industrial automated systems. In this work, we propose a technique for edge detection in digital images obtained from real pieces based on fuzzy logic. The fuzzy inference model works with 18 Mamdani type rules and was built with 8 input variables and one output variable. It is, the processing of the image was performed under the conditions of the lighting scenario, background and the color of the piece. The performance of the algorithm was evaluated on several images captured from different work environments and it was compared with traditional computer vision methods using gradient operators. The use of fuzzy logic in image processing expands the possibilities to solve a problem and provides more answers over the restrictions of classical methods.

Idioma originalInglés
Título de la publicación alojadaAdvances in Soft Computing - 18th Mexican International Conference on Artificial Intelligence, MICAI 2019, Proceedings
EditoresLourdes Martínez-Villaseñor, Ildar Batyrshin, Antonio Marín-Hernández
EditorialSpringer
Páginas364-376
Número de páginas13
ISBN (versión impresa)9783030337483
DOI
EstadoPublicada - 2019
Publicado de forma externa
Evento18th Mexican International Conference on Artificial Intelligence, MICAI 2019 - Xalapa, México
Duración: 27 oct 20192 nov 2019

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen11835 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia18th Mexican International Conference on Artificial Intelligence, MICAI 2019
País/TerritorioMéxico
CiudadXalapa
Período27/10/192/11/19

Huella

Profundice en los temas de investigación de 'Application of Fuzzy Logic in the Edge Detection of Real Pieces in Controlled Scenarios'. En conjunto forman una huella única.

Citar esto