Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color image quantization for frame buffer display
SIGGRAPH '82 Proceedings of the 9th annual conference on Computer graphics and interactive techniques
Interval Set Clustering of Web Users with Rough K-Means
Journal of Intelligent Information Systems
Some refinements of rough k-means clustering
Pattern Recognition
Rough Image Colour Quantisation
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
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Colour clustering (or colour quantisation) is an elementary image processing process to reduce the number of distinct colours in an image. Colour quantised images contain a colour palette and it is the entries in this palette that determine the quality of the resulting image. Colour quantisation is known to be a problem that is NP-complete, and therefore effective and efficient methods of deriving good colour palettes are sought. In this paper, we present several computational intelligence methods for colour quantisation.