Modeling of a Neuro Fuzzy System to Develop an Efficient Method to Get a Specific Color Paint from the Color Model Cyan, Magenta and Yellow (CMY) under Terms of Open Source

Victor Pulla, Xavier Serrano

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper we present the modeling of a neuro-fuzzy system to be applied in the mix of paint from color model cyan, magenta and yellow (CMY). We aim to research an efficient method to get a specific hue color that is located within color wheel. The modeling is focused in to generate a wide gamma of colors to paint crafts like Panama Hats only with mentioned colors. Variables of the system are given by the frame and shape of selection of color. We use a fuzzy controller to generate the magnitude of the CMY percentages and a neural network to interpret the components to dosage the assigned color. Finally proceed data are used to develop an embedded controller under open source, the resulting color from the system is verified using different samples to determine the accuracy with selected color.

Original languageEnglish
Pages (from-to)486-491
Number of pages6
JournalProcedia Computer Science
Volume61
DOIs
StatePublished - 1 Jan 2015
EventComplex Adaptive Systems, 2015 - San Jose, United States
Duration: 2 Nov 20154 Nov 2015

Keywords

  • Color wheel
  • dosing of colors
  • embedded systems
  • fuzzy controller
  • neural networks
  • neuro-fuzzy systems

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