shrinkage free smoothing of grain boundaries
Description
A Laplacian is a low pass filter with gain 1-lambda*k, which is smaller than one everywhere except at k = 0. Iterating it therefore shrinks every convex region, without bound - a grain smoothed long enough disappears.
Taubin's fix is to follow each smoothing pass by a slightly larger unshrinking pass with a negative step mu, so that the gain over the pair is (1-lambda*k)(1-mu*k). With mu chosen a little below -lambda this product is approximately one over the low frequencies, i.e. the shape is smoothed while the area is given back.
This is approximate, not exact - the areas do move, just not systematically in one direction.
Reference: G. Taubin, A signal processing approach to fair surface design, SIGGRAPH 1995.
Syntax
grains = smoothBoundary(grains,taubinFilter)F = taubinFilter;
F.iter = 10;
grains = smoothBoundary(grains,F)Class Properties
| iter | number of shrink/unshrink pairs (default: 5) |
| lambda | the smoothing step (default: 0.5) |
| mu | the unshrinking step, negative and slightly larger in modulus than lambda (default: -0.53) |
See also
grain2d.smoothBoundary boundaryFilter laplaceFilter curvatureFilter
Citing this page.
This page is part of the documentation of
MTEX, a free and open
source MATLAB toolbox for analyzing and modeling crystallographic textures.
It was written by The MTEX Developers and is published at
https://mtex-toolbox.github.io/taubinFilter.html.
If you use MTEX, or reuse text or figures from this page, in your research,
please cite
F. Bachmann, R. Hielscher, H. Schaeben: Texture Analysis with MTEX - Free and Open Source Software Toolbox, Solid State Phenomena 160 (2010), 63-68. 10.4028/www.scientific.net/SSP.160.63
BibTeX
@article{bachmann2010mtex,
author = {F. Bachmann and R. Hielscher and H. Schaeben},
title = {Texture Analysis with MTEX - Free and Open Source Software Toolbox},
journal = {Solid State Phenomena},
volume = {160},
pages = {63-68},
year = {2010},
doi = {10.4028/www.scientific.net/SSP.160.63},
url = {https://doi.org/10.4028/www.scientific.net/SSP.160.63}
}
Other papers describing specific MTEX methods are listed under Publications — please cite the one that best fits your application. The MTEX source code is licensed under the GNU General Public License v2.0; the text and figures of this documentation are licensed under CC BY 4.0, which permits reuse — including by automated systems — provided The MTEX Developers and this page are credited.