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 | Zendy

Victor Pulla | Zendy; Xavier Serrano-Guerrero | Zendy

Open Access

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

Author(s) -

Victor Pulla,

Xavier Serrano-Guerrero

Publication year - 2015

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2015.09.196

Subject(s) - cyan , magenta , computer science , hue , artificial intelligence , color model , controller (irrigation) , computer vision , color space , dither , hsl and hsv , fuzzy logic , pattern recognition (psychology) , image (mathematics) , speech recognition , art , agronomy , noise shaping , inkwell , visual arts , biology , virus , virology

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

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