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题名: Segmentation of Noisy and Textured Images by an Expectation Maximization and Gradient Descent Iteration Method
作者: 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: PROCEEDINGS OF THE 2015 4TH NATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING ( NCEECE 2015)
会议录出版者: ATLANTIS PRESS
会议录出版地: PARIS
出版日期: 2015
页码: 331-336
收录类别: CPCI(ISTP)
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
产权排序: 1
WOS记录号: WOS:000373378400066
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/18610
Appears in Collections:机器人学研究室_会议论文

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Recommended Citation:
Wang ZZ,Yang YM. Segmentation of Noisy and Textured Images by an Expectation Maximization and Gradient Descent Iteration Method[C]. 见:4th National Conference on Electrical, Electronics and Computer Engineering (NCEECE). Xi'an, PEOPLES R CHINA. December 12-13, 2015.
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文件名: Segmentation of Noisy and Textured Images by an Expectation Maximization and Gradient Descent Iteration Method.pdf
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