An energy conduction model for cell image segmentation  

作　　者：MA JingFeng BU JiaJun HOU Kai BAO ShangLian CHEN Chun 

机构地区：[1]College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China [2]Beijing Key Laboratory of Medical Physics and Engineering, Peking University, Beijing 100871, China [3]Beijing Healthway Technology Limited Company, Beijing 100084, China

出　　处：《Chinese Science Bulletin》2011年第10期1048-1054,共7页

基　　金：supported by the National Basic Research Program of China(2011CB707701);the National Natural Science Foundation of China(60873124);the Joint Research Foundation of Beijing Education Committee(JD100010607);the International Science and Technology Supporting Plan(2008BAH26B00);the Zhejiang Service Robot Key Lab(2008E10004)

摘　　要：Cell image segmentation is an essential step in cytopathological analysis.Although their execution speed is fast,the results of cell image segmentation by conventional pixel-based,edge-based and continuity-based methods are often coarse.Fine structures in a cell image can be obtained with a method that quickly adjusts the threshold levels.However,the processing time of such a method is usually long and the final results may be sensitive to intensity differences and other factors.In this article,a new energy model is proposed that synthesizes a differential equation from the conventional and level set methods,and utilizes the nonuniformity property of cell images (e.g.cytoplasms are more uneven than the background).The feasibility and robustness of the proposed model was demonstrated by processing relatively complicated background images of both simulated and real cell images.Cell image segmentation is an essential step in cytopathological analysis. Although their execution speed is fast, the results of cell image segmentation by conventional pixel-based, edge-based and continuity-based methods are often coarse. Fine structures in a cell image can be obtained with a method that quickly adjusts the threshold levels. However, the processing time of such a method is usually long and the final results may be sensitive to intensity differences and other factors. In this article, a new energy model is proposed that synthesizes a differential equation from the conventional and level set methods, and utilizes the nonuniformity property of cell images （e.g. cytoplasms are more uneven than the background）. The feasibility and robustness of the proposed model was demonstrated by processing relatively complicated background images of both simulated and real cell images.

关 键 词：细胞图像 图像分割 传导模型 水平集方法 能量 执行速度 精细结构 快速调整 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TM540.1[自动化与计算机技术—计算机科学与技术]