3D filtering using ellipsoidal neighbourhood.
Matthias Labschütz contributed a fast version for isotropic kernels (for min, max and mean filtering)
The plugin performs 3D filtering on image stacks. The kernel is ellipsoidal, you can then select three radii for X, Y, and Z. Note that the plugin uses parallel implementation, and a very fast version using rolling ball algorithm is used for isotropic kernel (all three radii equal).
The 3D filters mean, median, variance, min and max are implemented in ImageJ since version 1.47.
Available filters :
* Mean and variance filtering
* Minimum and maximum filtering
* Local maxima
* TopHat transform (to detect spots-like objects)
* Sobel (simple edge detection)
* Adaptive Nagao-like
For details go to the 3D ImageJ Suite.
If you want fast version for non-isotropic kernels, you are invited to install the JNI version.
When using the 3D Filters plugin for publication, please refer to :
J. Ollion, J. Cochennec, F. Loll, C. Escudé, T. Boudier. (2013) TANGO: A Generic Tool for High-throughput 3D Image Analysis for Studying Nuclear Organization. Bioinformatics 2013 Jul 15;29(14):1840-1. doi
GPL distribution (see licence ). Sources for plugins are available freely. Sources for core are available on request.