An Adaptive Color Image Segmentation Algorithm Based on Gaussian Mixture Model Applied to Mobile Terminal

摘要：

　　This paper presents an adaptive color image segmentation algorithm based on Gaussian mixture model.Image edge posterior probability density is estimated with Gaussian mixture model.To derive image edge,we use variational approximation method to estimate Gaussian mixture model parameters.Finally,we give some image segmentation experiments to verify performance of our algorithm combined with priori position information.Experimental results show that our algorithm can be applied to color image segmentation on mobile terminal.

关键词： Gaussian mixture model Posterior probability density Variational approximation

作者: Jia-Qiang Wang Han-Bing Qu Wei Jin Chao Hu Hai-Jun Tao

作者单位: Pattern Recognition Research Center,Beijing Institute of New Technology Applications,Beijing 100094, China Jiliang University,Hangzhou 310018,China

会议类型: 国际会议

会议名称: The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

会议地点: 福州

会议语种:英文

页码: 469-476

在线出版日期: 2015-05-08（万方平台首次上网日期，不代表论文的发表时间）