Segmentation and Tracking of Confocal Images of Arabidopsis thaliana Root Cells using Automatically- Initialized Network Snakes
The extraction of quantitative information from confocal microscope images continues to be a demanding and complex task. To this end, an automatic tool has been developed to support segmentation and tracking of networks of cells in the root of the model plant Arabidopsis thaliana. The approach is based upon automatically initialized Network Snakes. Network Snakes are a modification of the traditional ‘snakes technique, connecting several together to form a global topological structure. Global information helps in constraining object shape throughout the segmentation process, providing accurate boundary descriptions and allowing cell identity to be maintained over time. This technology is coupled with a novel automatic initialization method which modifies the watershed algorithm. The tool is demonstrated on a set of confocal microscope images showing root cells of Arabidopsis thaliana.
Segmentation Network Snakes topology energy Watershed
Vijayashankar Sethuraman Sam Taylor Tony Pridmore Andrew French Darren Wells
School of Computer Science,The University of Nottingham Nottingham,UK Centre for Plant Integrative Biology The University of Nottingham Nottingham,UK
国际会议
北京
英文
1-4
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）