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

Research output: Book chapterConference contributionpeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationAdvances in Soft Computing - 18th Mexican International Conference on Artificial Intelligence, MICAI 2019, Proceedings
EditorsLourdes Martínez-Villaseñor, Ildar Batyrshin, Antonio Marín-Hernández
PublisherSpringer
Pages364-376
Number of pages13
ISBN (Print)9783030337483
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event18th Mexican International Conference on Artificial Intelligence, MICAI 2019 - Xalapa, Mexico
Duration: 27 Oct 20192 Nov 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11835 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th Mexican International Conference on Artificial Intelligence, MICAI 2019
Country/TerritoryMexico
CityXalapa
Period27/10/192/11/19

Keywords

  • Computer vision
  • Edge detection
  • Fuzzy inference

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