2D Rotated Gaussian Fit
Matlab's Surface fitting does not (yet) include fairly standard defined surfaces. The present contribution is a simple implementation of the surface fit to the problem of fitting a 2D gaussian to an observed object in an image. Keep the image size small in order not to suffocate the fitting routine.
Gauss2DRotFit requires an input in the form of a 2D intensity image of the 2D gaussian. It also accepts as a second input an structure defining the lower, upper bounds as well as a best guess of the 7 fit parameters. The structure has 3 fields: 'Lower','StartingPoint' and 'Upper'. A title string may be provided as a third input parameter.
Cite As
Steffen B. Petersen (2024). 2D Rotated Gaussian Fit (https://www.mathworks.com/matlabcentral/fileexchange/39448-2d-rotated-gaussian-fit), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
Tags
Acknowledgements
Inspired: gaussfitn
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
Version | Published | Release Notes | |
---|---|---|---|
1.0.0.0 |