Short Description

Fast MultiThreaded 3D Filtering, use ellipsoidal neighbourhood, works for 5D images.
3D Fast Filters on ImageJ: http://imagejdocu.tudor.lu/doku.php?id=plugin:filter:3d_filters:start

Documentation

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.

Available filters :

  • Mean and variance filtering
  • Minimum and maximum filtering
  • Local maxima
  • TopHat transform (to detect spots-like objects)
  • Gray opening
  • Gray closing
  • Sobel
  • Adaptive Nagao-like

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Changelog

  • Version 0.0.2.6 • Released on: 2017-06-06 10:07:30
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    Description:

    compatible with java6

  • Version 0.0.2.5 • Released on: 2017-06-06 06:04:07
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    Description:

    * improved message log

  • Version 0.0.2.4 • Released on: 2017-06-06 05:16:04
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    Description:

    * Estimated time to completion (ETC) is displayed in the progress bar

    * Corrected typo in output for blocks

  • Version 0.0.2.3 • Released on: 2013-03-20 13:04:57
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    Description:

    Progress bar is back. Does not display result in block mode.

  • Version 0.0.2.2 • Released on: 2013-03-20 10:09:11
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    Description:

    Source code included. Progress bar removed due to incompatibility with blocks.

  • Version 0.0.2.1 • Released on: 2013-03-06 10:18:11
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    Description:

    Support for all types of images.

  • Version 0.0.2.0 • Released on: 2013-02-08 14:42:37
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    Description:

    Progress Bar.
    Works with 5D images.

  • Version 0.0.1.4 • Released on: 2013-02-07 14:17:33
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  • Version 0.0.1.3 • Released on: 2013-02-07 11:44:57
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    Description:

    New filters OpeningGrayLevel and ClosingGrayLeve, all filters use an 3D ellipsoidal neighborhoodl

  • Version 0.0.1.2b • Released on: 2013-02-05 18:09:51
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    Description:

    Compatible with java 1.6
    Blocks compatible

  • Version 0.0.1.1 • Released on: 2013-02-04 17:33:50
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    Description:

    New Filters

  • Version 0.0.1.0b • Released on: 2013-02-04 16:59:35
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