DocumentCode
3563697
Title
An evolving localised learning model for on-line image colour quantisation
Author
Da Deng ; Kasabov, Nikola
Author_Institution
Dept. of Inf. Sci., Otago Univ., Dunedin, New Zealand
Volume
1
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
906
Abstract
Although widely studied for many years, colour quantisation remains a practical problem in image processing. Unlike previous works where the image can only be quantised after the whole set of image data is acquired, we propose to use an evolving localised learning model for on-line colour quantisation. This approach is compared with some conventional algorithms
Keywords
image coding; image colour analysis; digital colour image; evolving localised learning model; image processing; on-line image colour quantisation; Clustering algorithms; Computer graphics; Displays; Image coding; Image color analysis; Image processing; Information science; Network topology; Prototypes; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2001. Proceedings. 2001 International Conference on
Print_ISBN
0-7803-6725-1
Type
conf
DOI
10.1109/ICIP.2001.959193
Filename
959193
Link To Document