Study on the Automatic Multi-Cells Tracing Algorithm in a Sequence of Micro Images
The varying density of the cell culture and the complexity of the cell behavior, shape deformation, mitosis, close contact and partial occlusion pose many challenges to existing tracking techniques. In this paper, a novel automatic multi-cells tracing algorithm is put forward. We implemented the automatic tracking method that proceeds in three steps: Firstly, we detect the individual cells in each frame using feature point detection techniques. Secondly , we establish the correspondences between cells over neighboring frames with a notion of decision risk derived from cell motion priors and record them in the track linked list data model. Finally, the multi-cells’ trajectories are formed from the track linked list data model. The experimental result shows that the multi-cell tracking algorithm simultaneously tracks a very large number of cells and can successfully cope with the aforementioned challenges.
cell tracing feature point detection adjacency list micro image sequence
Xin Yin Xin Wang
Physics and Electronics Information college, Tianjin Normal University, Tianjin,300387
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
236-240
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）