DocumentCode :
3155003
Title :
A new approach of color quantization based on ant colony clustering algorithm
Author :
Hu, Xinrong ; Wang, Tianzhen ; Li, Dehua
Author_Institution :
Inst. for Pattern Recognition & Artificial Intelligence, HuaZhong Univ. of Sci. & Technol., Wuhan, China
Volume :
1
fYear :
2005
fDate :
4-6 April 2005
Firstpage :
102
Abstract :
Color quantization is wildly exploited for many applications especially in the fields of computer graphics and image processing. After studying the approaches of color clustering, a new approach based on ant colony clustering algorithm applied in color image quantization is proposed in the paper. According to the picking up-dropping theory, a promoted ant algorithm is applied to group colors into certain clusters in RGB space. It finishes color quantization after colors mapping of every pixel. Our experiment shows that the algorithm proposed in this paper has rather good performance with an excellent robustness, a less time consumption, and a simple realization.
Keywords :
colour graphics; data compression; image coding; image colour analysis; pattern clustering; quantisation (signal); RGB space; ant colony clustering algorithm; color image quantization; color mapping; color quantization; computer graphics; group colors; image processing; picking up-dropping theory; promoted ant algorithm; Clustering algorithms; Information technology; Quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology: Coding and Computing, 2005. ITCC 2005. International Conference on
Print_ISBN :
0-7695-2315-3
Type :
conf
DOI :
10.1109/ITCC.2005.18
Filename :
1428445
Link To Document :
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