Difference between revisions of "Kalman Stack Filter"

(added that its not in fiji yet in the status field of the infobox)
(Use imagej.net for ImageJ 1.x documentation links)
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| author                = Christopher Philip Mauer
 
| author                = Christopher Philip Mauer
 
| filename              = Kalman_Stack_Filter.class
 
| filename              = Kalman_Stack_Filter.class
| source                = [http://rsb.info.nih.gov/ij/plugins/download/Kalman_Stack_Filter.java Kalman_Stack_Filter.java]
+
| source                = [http://imagej.net/plugins/download/Kalman_Stack_Filter.java Kalman_Stack_Filter.java]
 
| released              = 23 May 2003
 
| released              = 23 May 2003
 
| latest version        = 17 November 2006
 
| latest version        = 17 November 2006
 
| status                = stable (not yet in fiji update)
 
| status                = stable (not yet in fiji update)
 
| category              = [[:Category:Filtering|Filtering]]
 
| category              = [[:Category:Filtering|Filtering]]
| website                = [http://rsb.info.nih.gov/ij/plugins/kalman.html]
+
| website                = [http://imagej.net/plugins/kalman.html]
 
}}
 
}}
  
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== Documentation ==
 
== Documentation ==
  
The [http://rsb.info.nih.gov/ij/plugins/kalman.html ImageJ website] offer a very complete documentation for its usage. Please refer to it.  
+
The [http://imagej.net/plugins/kalman.html ImageJ website] offer a very complete documentation for its usage. Please refer to it.  
  
  
 
[[Category:Filtering]]
 
[[Category:Filtering]]
 
[[Category:Plugins]]
 
[[Category:Plugins]]

Revision as of 14:54, 31 July 2014

Kalman Stack Filter (ImageJ)
Author Christopher Philip Mauer
Maintainer
File Kalman_Stack_Filter.class
Source Kalman_Stack_Filter.java
Initial release 23 May 2003
Latest version 17 November 2006
Development status stable (not yet in fiji update)
Category Filtering
Website [1]



Purpose

This plugin implements a recursive prediction/correction algorithm which is based on the Kalman Filter to remove high gain noise from stacks. It is very useful for noisy time-lapse movies.

Documentation

The ImageJ website offer a very complete documentation for its usage. Please refer to it.