Red blood cell segmentation using guided contour tracing
Vromen, Joost; McCane, Brendan
Cite this item:
Vromen, J., & McCane, B. (2006). Red blood cell segmentation using guided contour tracing (pp. 25–29). Presented at the 18th Annual Colloquium of the Spatial Information Research Centre (SIRC 2006: Interactions and Spatial Processes).
Permanent link to OUR Archive version:
http://hdl.handle.net/10523/761
Abstract:
We present a model-based contour tracing approach to the problem of automatically segmenting a Scanning Electron Microscope image of red blood cells. These images characteristically have high numbers of overlapping cells and relatively smooth contours. We provide a brief look into what problems conventional algorithms encounter when attempting to segment these images, and go on to show that a model-based contour tracing approach attains high levels of accuracy and almost no false negatives.
Date:
2006-11
Conference:
18th Annual Colloquium of the Spatial Information Research Centre (SIRC 2006: Interactions and Spatial Processes), Dunedin, New Zealand
Keywords:
contour tracing; computer vision; image segmentation; red blood cells
Research Type:
Conference or Workshop Item (Paper)