%0 Journal Article
%T A Two-phase Color Quantization Approach Based on Spectral Clustering<br>基于谱聚类的两阶段颜色量化算法
%A GU Rui-jun
%A YE Bin
%A XU Wen-bo
%A GU Rui-jun
%A YE Bin
%A XU Wen-bo
%A GU Rui-jun
%A YE Bin
%A XU Wen-bo
%A <br>谷瑞军
%A 叶宾
%A 须文波
%J 中国图象图形学报
%D 2007
%I 
%X Color quantization or color reduction is an important technique for image analysis and has been widely used in image segmentation,image compression and image recognition.Firstly,on bisecting K-means is used to quantize image roughly and then we refine the image by improved spectral clustering based weighted distance.The stability and quickness of bisecting K-means and adjustable weight make our approach an attractive one.Experimental results show that our approach performs better than octree algorithm in quantized quality and has a less computation complexity than K-means algorithm.For special image,which includes one important color but with only a few pixels,traditional approaches usually lose the important color,but our approach can deal with it by introducing the weight for distances between pixels.
%K color quantization
%K spectral clustering
%K bisecting K-means<br>颜色量化
%K 谱聚类
%K 二分K均值
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=410B7D0667B7F085&yid=A732AF04DDA03BB3&vid=59906B3B2830C2C5&iid=F3090AE9B60B7ED1&sid=CC5F4A47280A3584&eid=0F2A4352C5EAE78D&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=1&reference_num=6