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Segmentation of Noisy and Textured Images by an Expectation Maximization and Gradient Descent Iteration Method
Wang ZZ(王振洲); Yang YM(杨永明)
作者部门机器人学研究室
会议名称4th National Conference on Electrical, Electronics and Computer Engineering (NCEECE)
会议日期December 12-13, 2015
会议地点Xi'an, PEOPLES R CHINA
会议主办者Int Informatizat & Engn Assoc, Trans Tech Publicat
会议录名称PROCEEDINGS OF THE 2015 4TH NATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING ( NCEECE 2015)
出版者ATLANTIS PRESS
出版地PARIS
2015
页码331-336
收录类别CPCI(ISTP)
WOS记录号WOS:000373378400066
产权排序1
ISBN号978-94-6252-150-6
关键词Image Segmentation Expectation Maximization Gibbs Distribtion
摘要Segmentation of noisy and textured images remains challenging in both accuracy and computation efficiency. In this paper, we propose a new method for segmentation of noisy and textured images. The proposed method is based on the famous Expectation Maximization (EM) methodwhich calculates the global parameters of the image and Gibbs distribution which calculates the local parameters of the image. With the global parameters of the objects and the background computed from EM, a pre-segmentation is achieved. Then we propose a gradient descent iteration (GDI) method to achieve the final segmentation by minimizing the sum of local energy. Experimental results show that the proposed method is more effective than the state of art Normalized Cut method in segmenting noisy and textured images.
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/18610
专题机器人学研究室
作者单位Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang City, PR China
推荐引用方式
GB/T 7714
Wang ZZ,Yang YM. Segmentation of Noisy and Textured Images by an Expectation Maximization and Gradient Descent Iteration Method[C]//Int Informatizat & Engn Assoc, Trans Tech Publicat. PARIS:ATLANTIS PRESS,2015:331-336.
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