
Color Detection of RGB Images Using Python and OpenCv
Author(s) -
Preeth Raguraman,
A. Meghana,
Yamini Sai Navya,
S. N. Karishma,
S. Iswarya
Publication year - 2021
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit217119
Subject(s) - artificial intelligence , rgb color model , painting , python (programming language) , computer science , computer vision , color image , computer graphics (images) , image (mathematics) , art , image processing , visual arts , operating system
The main objective of this application is the methodology for identifying the shades of colors with an exact prediction with their names. A study says, a normal human can able to clearly identify nearly 1 million shades of colors. But in the case of human having “enchroma”, could be able to see only 1% (i.e.10,000 colors) from the normal humans. While painting pictures, a painter needs to identify the color patterns exactly or else the reality of image is not clear.