to the plugins folder, or subfolder, restart ImageJ,
and there will be a new Plugins/Filters/Mixture Modeling… command.
This algorithm separates the histogram of an image into two classes using a Gaussian model. It then calculates
the image threshold as the intersection of these two Gaussians. This thresholding technique
has the advantage of finding a threshold that is in certain cases closer to real world data.
The Gaussian parameters can also be used to caracterise the two regions obtained.
The plugin returns a histogram with the two Gaussians, the parameters obtained (average, standard
deviation, threshold) and the thresholded image.
Author: Yasunari Tosa (ytosa at att.net) History: 2006/04/14: First version Source: Multi_OtsuThreshold.java Installation: Download Multi_OtsuThreshold.java to the plugins folder, or subfolder, then compile and run
Authors: Ignacio Arganda-Carreras (ignacio.arganda at gmail.com) Stephan Saalfeld Johannes Schindelin Source: In siox_.jar Requires: ImageJ 1.43m or later Installation: Drag and drop siox_.jar onto the
Authors: Jeffrey Kuhn (firstname.lastname@example.org) The University of Texas at Austin Anthony Padua (email@example.com) Duke University Medical Center, Department of Radiology History: 2000/08/22: First version 2002/10/31:
Author: Francois Richard (richard@SCIENCE.UOTTAWA.CA) Date: 2000/9/29 Source: Comment_Writer.java Installation: Copy Comment_Writer.class to the plugins folder and restart ImageJ. Description: This is a simple plugin that
Author: Wayne Rasband (firstname.lastname@example.org) Date: 2000/8/28 Requirements: ImageJ 1.18s or later Source: SpecifyLine_.java Installation: Download SpecifyLine_.class to the plugins folder and restart ImageJ. Use the
Author: Jerek Sacha (jarek at ieee.org) History: 2004/02/13: First version Source: Entropy_Threshold.java Installation: Download Entropy_Threshold.java to the plugins folder, or subfolder, and compile and run