Ma Jing-Feng(马竟锋)a), Hou Kai(侯凯) c), Bao Shang-Lian(包尚联)b)c), and Chen Chun(陈纯)a)†
aCollege of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China; b Beijing Key Lab of Medical Physics and Engineering, Peking University, Beijing 100871, China; cBeijing Healthway Technology Limited Company, Beijing 100084, China
Abstract In this paper we first determine three phases of cell images: background, cytoplasm and nucleolus according to the general physical characteristics of cell images, and then develop a variational model, based on these characteristics, to segment nucleolus and cytoplasm from their relatively complicated backgrounds. In the meantime, the preprocessing obtained information of cell images using the OTSU algorithm is used to initialize the level set function in the model, which can speed up the segmentation and present satisfactory results in cell image processing.
Received: 23 August 2010
Revised: 21 September 2010
Accepted manuscript online:
PACS:
87.57.nm
(Segmentation)
Fund: Project supported by the National Basic Research Program of China (Grant No. 2011CB707701), the National Natural Science Foundation of China (Grant No. 60873124), the Joint Research Foundation of Beijing Education Committee (Grant No. JD100010607), the International Science and Technology Supporting Programme (Grant No. 2008BAH26B00), and the Zhejiang Service Robot Key Laboratory (Grant No. 2008E10004).
Cite this article:
Ma Jing-Feng(马竟锋), Hou Kai(侯凯), Bao Shang-Lian(包尚联), and Chen Chun(陈纯) A new level set model for cell image segmentation 2011 Chin. Phys. B 20 028701
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