Color Quantization Based on Gaussian Mixture Mode

摘要：

Color quantization is an important technique for image analysis that reduces the number of distinct colors for a color image. A novel color image quantization algorithm based on Gaussian mixture model is proposed. In the approach, we develop a Gaussian mixture model to design the color palette. Each component in the GMM represents a type of color in the color palette. The task of color quantization is to group pixels into different component. Experimental results show that our quantization method can obtain better results than other methods.

关键词： color quantization color space Gaussian mixture model Expectation-Maximization

作者: Jin Qiu-chun Tong Xiao-li

作者单位: Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou 450015, China

会议类型: 国际会议

会议名称: 2011 International Conference on Advanced Materials and Engineering Materials(2011先进材料与工程材料国际会议 ICAMEM 2011)

会议地点: 沈阳

会议语种:英文

页码: 650-654

在线出版日期: 2011-11-22（万方平台首次上网日期，不代表论文的发表时间）