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CDT iPython notebook example:
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Radon-CDT iPython notebook example:
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Tutorial code:
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DiscreteLOT: Matlab software for computing a particle-based linear optimal transport embedding of images of cells, as well as applying the transport-based morphometry pipeline described in Basu et al, PNAS 2014. To run the software, download and run the script "Main_LOT_Particle.m".
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1D CDT: Python software for computing the 1D cummulative distribution transform (CDT), as described in Park et al arXiv:1507.05936, 2015. To run the software, download and run the iPythonNoteBook script provided. If desired, a Matlab software for 1D CDT is also provided.
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2D Continuous LOT: Matlab software for computing the 2D continuous linear optimal transport (LOT) transform as described in Kolouri et al, Pattern Recognition 2015 (in press). To run the software, download and run the script "main.m".
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2D Radon-CDT: Matlab software for computing the 2D Radon cumulative distribution transform as described in Kolouri et al, IEEE TIP 2016. To run the software, download and run the script "main.m".