Diseño y Construcción de un Módulo de Prueba para la Conversión entre Modelos RGB y CMYK A Través de Redes Neuronales.

Abstract

The modules were designed thinking about the necessities of business that seek to specialize their activities in correcting flaws in the depiction of a vehicle or require the development of a range of products with a specific color established by the client. It works through a camera that perceives the color that has to be analyzed and get the result in a software application. The results offer information about the colors and the amount of paint in order to get the needed color. The objective of this job is to design a testing prototype able to convert between models RGB and CMYK using neural networks, to achieve that, it was necessary to analyze the restrictions that presents in the conversion between the models of colors, using neural networks to describe a model which allows the conversion; implementing an electronic test prototype of the developed model that allows to convert between the specifications RGB and CMYK. Then overcome these phases, it was important to set test at the prototype. To calibrate the experimental hardware, an operating curve was traced at the subsystems. The information of the procedures which involves to a neural network and the necessities of the problem were the base to build the neural network reach a general definition of the network. One of the most important point of this job is the necessity of including the white color in the space of CMYK. It would help to generalize the application in different industries and depending of the right calibration of the systems could improve the final results on the application in general ways.