%0 Journal Article
%T Protoplasm somatic cells segmentation based on circle dependent fast level-set segmentation<br>基于圆形约束快速水平集的原生质体细胞分割
%A Wang Xiaofei
%A Pang Quan
%A <br>王晓飞
%A 庞全
%J 中国图象图形学报
%D 2013
%I 
%X The microscopic image of protoplasm somatic cells typically has blurred boundaries and inhomogeneous object regions.Therefore, it is difficult to segment the cells using traditional methods. First, because the protoplasm cell is round, the circular prior knowledge is added to the fast level set method and then a new circle dependent fast level set segmentation method is proposed. Then, to solve the problem of segmentation for multi protoplasm somatic cells, the pre-segmentation is used before using the fast multi-level set method based on circle information. Furthermore, a new fast level-set method, which is based on the histogram, is proposed to get a better result for the pre-segmentation. The eight-chain code tracking method and the randomized Hough transform for circle detection are used to divide object region resulting from pre-segmentation respectively for multi-cells and multi-clustered cells. Finally, experimental results show that the new method proposed in this paper can deal well with the problem of segmentation for protoplasm somatic cells.
%K fast level-set method
%K protoplasm
%K circular prior knowledge
%K multi-circle segmentation<br>快速水平集
%K 原生质体
%K 圆形先验知识
%K 多圆分割
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=AE8DAD4245F3E9A98D8E9EFD6C63F5B7&yid=FF7AA908D58E97FA&vid=13553B2D12F347E8&iid=CA4FD0336C81A37A&sid=E514EE58E0E50ECF&eid=1D0FA33DA02ABACD&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=10