Fuzzy inference system for the amendment of adjusted color using particle swarm

Authors

  • Linda Sheriyn Rodríguez Castro Universidad Distrital Francisco José de Caldas, Bogotá, Colombia
  • Iván Javier Ponce Fajardo Universidad Distrital Francisco José de Caldas. Bogotá, Colombia
  • Helbert Eduardo Espitia Cuchango Francisco José de Caldas District University image/svg+xml

DOI:

https://doi.org/10.33975/riuq.vol27n1.24

Keywords:

Evolutionary art, psychedelic art, colorimetry, fuzzy logic, PSO, image processing

Abstract

This paper proposes a fuzzy inference system for color manipulation in digital images to change the art style to psychedelic art. Initially through sets and fuzzy inference rules, generating images with colors characteristic of this type of art. Later fi ts inference system with the technique proposed an optimization algorithm based on particle swarms evidencing improved results.

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Published

2016-09-30

Issue

Vol. 27 No. 1 (2015)

Section

Original Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Fuzzy inference system for the amendment of adjusted color using particle swarm. (2016). Revista De Investigaciones Universidad Del Quindío, 27(1), 46-53. https://doi.org/10.33975/riuq.vol27n1.24