International Scientific Publications
© 2023 Science Events Ltd
Terms of Use  ·  Privacy Policy
Choose language English French Bulgarian
Conference room
Materials, Methods & Technologies 2024, 26th International Conference
15-18 August, Burgas, Bulgaria
Call for Papers

Materials, Methods & Technologies, Volume 15, 2021

COMPARISON OF ROBUST COLOR RECOGNITION ALGORITHMS
Samuel Kosolapov
Pages: 274-283
Published: 23 Sep 2021
Views: 414
Downloads: 39
Abstract: A number of color recognition algorithms are known - from using classic HSL space to modern AI algorithms. However, when analyzing real-life industrial, agricultura,l or medical images (for example images of fruits, flowers – to be sorted by color, human skin – to be analyzed for the presence of suspicious colors) - camera noise makes color recognition non-reliable, especially in dark regions. In this paper reliability of a number of well-known color recognition algorithms was compared. In order to lessen the amount of false recognitions, some modifications to algorithms in test were added. Provided comparisons of the algorithms in test were executed by using real-life images.
Keywords: image processing, color recognition, hue, scalar product, normalized correlation
Cite this article: Samuel Kosolapov. COMPARISON OF ROBUST COLOR RECOGNITION ALGORITHMS. Journal of International Scientific Publications: Materials, Methods & Technologies 15, 274-283 (2021). https://www.scientific-publications.net/en/article/1002218/
Download full text

Back to the contents of the volume
By using this site you agree to our Privacy Policy and Terms of Use. We use cookies, including for analytics, personalisation, and ads.