You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
This software implements algorithms and provides data necessary to generate figures and results presented in "D. Brunet, D. Sills, An implicit contour morphing framework applied to computer-aided severe weather forecasting, IEEE Signal Process. Lett., vol. 22, no. 11, pp. 1936-1939, Nov. 2015."
The directory structure goes as follow:
Inside the main repository, the main scripts for each experiment correspond to the section number in the paper.
- experiment3_1simulation.m must be run before experiment3_1rasterization.m to generate simulated examples (about 700 MB of space needed).
- experiment3_2.m will call experiment3_2byname.m to generate each figure.
- experiment3_3.m can be run directly.
Each script uses functions found in the folder 'FUNCTIONS' and third-party functions found in the folder 'TOOLBOXES'. The data is stored/generated in the folder 'DATA'. Resulting figures are saved in the folder 'RESULTS/FIGURES'.
Cite As
Dominique Brunet (2026). Implicit Contour Morphing Framework (https://www.mathworks.com/matlabcentral/fileexchange/66407-implicit-contour-morphing-framework), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: multimodality non-rigid demon algorithm image registration
General Information
- Version 1.0.0.0 (4.77 MB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
