Dan Ophir1* and Galit Ophir2
1Ariel University, Computer Science Department, Ariel, Israel
2Reichman University, Interdisciplinary Center, Herzliya, Israel
*Corresponding author: Dan Ophir, Ariel University, Computer Science Department, Ariel, Israel
Submission: March 03, 2022; Published: March 15, 2022
ISSN:2694-4421 Volume2 Issue5
The subject in question belongs to the field of visual literacy. The article shows how to teach a computer color names and differentiation in subtle resolutions in the color shades, and in professional language - the chromatic, for example yellow color can appear in different shades, human eye is sensitive to some of the above shades. The article includes the color composition of the three primary RGB colors (red, green, blue) consisting of three integers in the interval [0-255]. A computerized learning system uses artificial intelligence methods - called “Deep learning”. The expert “grills” colors and calls the color by its name, which is registered in the database of the system. The expert thus teaches the computer of about 1000 colors out of 16,777,216 (256^3) shades that can be represented in computer monitors, that are accepted today. With the help of 1000 random color demonstrations, the computer will be able to differentiate colors in the later tests and identify colors, even if it is rarer, such as: “Khaki”, “Cream”, etc.
Keywords: Rainbow colors; RGB; Simulation; Deep learning
The step of testing the computer's proficiency in color recognition is done by a color generator that tests the computer's knowledge of color recognition. The comparison in computer learning and child learning: The learning methodology is identical in both cases: the learning step consists of presenting the color to the object (child/machine) and naming the color. The main differences are:
© 2022 Dan Ophir. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and build upon your work non-commercially.