Multi-scale Model and Level Set Based Image Segmentation Method and Its Medical Application

摘要：

To overcome the deficiency of conventional methods in image segmentation influenced by image noise, level set image segmentation based on Mumford-Shah model is often used. But it has the drawback of large calculation. This paper proposes a multi-scale algorithm based on Mumford-Shah method. Experimental results show that the given multi-scale algorithm can greatly decrease the amount of computation and enhance the noise suppressing ability. Finally the algorithm is successfully applied to segmentation of images of abdominal macrophages of mice.

作者: Luo Yangbin Zeng Pingping Fei Guo Wu Jianhua

作者单位: Information Engineering School,Nanchang University,Nanchang 330031,China;Department of Electronics,Jiangxi Blue Sky University,Nanchang 330098,China;Medical College,Nanchang University,Nanchang 330031,China

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）