Digital image analysis using discrete Morse theory and persistent homology.
Delgado-Friedrichs, O., Robins, V., & Sheppard, A. (2015). Skeletonization and partitioning of digital images using discrete Morse theory. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 37(3), 654-666.
Below is some minimal information that should help you get started. We plan to add more detail over time. Please contact us if you have any questions.
In order to compile diamorse, you will need git, a C++ compiler, the Boost library, and a GNU-compatible make.
- Clone this repository to your machine:
git clone https://github.com/AppliedMathematicsANU/diamorse.git - Run
make mainto compile only the main analysis programs, ormaketo also compile some utility programs. - Run
make pythonto compile the python wrappers (optional, requires cython).
Diamorse expects volume data to be stored in the NetCDF version 3 format.
(in progress...)
(in progress...)
The MIT License (MIT)
Copyright (c) 2015 The Australian National University
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.