New Framework of HSL System Based Color Clustering Algorithm (original) (raw)
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
Available Online August 2013.
DOI
10.2991/eusflat.2013.64How to use a DOI?
Keywords
Color distance fuzzy color clustering HSL perceptual color system
Abstract
In this paper one presents a fuzzy c-means algorithm enhancement for the particular case of color clustering. It was used the perceptual color system for color representation. The main step is represented by definition of a new distance in the color space. In this construction, there were used two multipliers that make the balance between the hue weight and luminosity weight in the framework of this three-terms color distance. The obtained experimental results were compared with those obtained by using the Euclidean distance. This comparison shows the effectiveness of the proposed clustering algorithm using.
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Vasile Patrascu PY - 2013/08 DA - 2013/08 TI - New Framework of HSL System Based Color Clustering Algorithm BT - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13) PB - Atlantis Press SP - 456 EP - 463 SN - 1951-6851 UR - https://doi.org/10.2991/eusflat.2013.64 DO - 10.2991/eusflat.2013.64 ID - Patrascu2013/08 ER -