Automated Segmentation and Tracking of SAM Cells

摘要：

　　In this paper,we propose an automated segmentation and tracking system for the shoot apical meristem (SAM) cells.Cells are segmented using a mixed filter based watershed segmentation method,which is proved to be very robust and efficient.After segmentation,a Triangle Neighborhood Structure matching method is proposed to track the segmented cells across different time instances.Our tracking method reduces the dependence on neighbors,because we only need two neighbors for any cells for matching while the other local graph matching methods require a much larger number of neighbors.Using our proposed segmentation and tracking system,we are able to track 97%of the plant SAM cells.

关键词： SAM Watershed segmentation Cell tracking Triangle Neighborhood Structure

作者: Min Liu Peng Xiang

作者单位: College of Electrical and Information Engineering,Hunan University,Changsha,410082,China

会议类型: 国际会议

会议名称: Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)

会议地点: 长沙

会议语种:英文

页码: 382-391

在线出版日期: 2014-11-01（万方平台首次上网日期，不代表论文的发表时间）