We implemented a full tracking pipeline of red blood cells, including automated detection with a Hough Circle Transform, and deformable tracking with our own Python implementation of Distance Regularized Level Set Evolution on top of basic image processing primitives provided by Python’s scikit-image library (e.g. Gaussian Filters). We analyze the behavior of this tracking system and its shortcomings.

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