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UmUTracker: A versatile MATLAB program for automated particle tracking of 2D light microscopy or 3D digital holography data
We present a versatile and fast MATLAB program (UmUTracker) that automatically detects and tracks particles by analyzing video sequences acquired by either light microscopy or digital in-line holographic microscopy.
A robust particle detection algorithm based on symmetry
Particle tracking is common in many biophysical, ecological, and micro-fluidic applications.
Circle detection using isosceles triangles sampling
Extensive experiments using both synthetic and real images were presented and results were compared to leading state-of-the-art algorithms and showed that the proposed algorithm: are efficient in finding circles with a low number of iterations; has high rejection rate of false-positive circle candidates; and has high robustness against noise, making it adaptive and useful in many vision applications.
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