Image Segmentation Method based on Lifting Wavelet and Watershed Arithmetic

摘要：

The overlapping phenomenon often appears in medical cell images. Traditional watershed based image segmentation methods have the drawback of over-segmentation. A method combining lifting wavelets with watersheds is presented to solve this problem. Lifting wavelet transform is firstly used to create multi-resolution images, then the watershed arithmetic based on distance transform is applied to segment the low-resolution image. At last, the inverse lifting wavelet transform is used to get the high-resolution image. Experimental results show that this arithmetic can successfully separate the cell clusters.

关键词： Watershed Image segmentation Lifting wavelet transform Distance transform

作者: Wu Jianhua Zhu Li Luo Yangbin Zeng Pingping

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