Cluster based Thesholding Techniques
By Ritesh Prakash, Sanchit Saraf and Utkarsh Anand, July 01, 2008
This plugin implements a C++ version of some Cluster based thesholding techniques as an Image Apprentice plugin.

This plugin discusses Clustering-based methods, where the gray-level samples are clustered in two parts as background and foreground object, or alternately are modeled as a mixture of two Gaussians. It discusses Riddler Thresholding, Yanni Thresholding, Otsu Thresholding and Kittler Algorithms (see code and pdf link for details). Reference: www.busim.ee.boun.edu.tr/~sankur/SankurFolder/Threshold_survey.pdf ; Mehmet Sezgin and Bülent Sankur, "Survey over image thresholding techniques and quantitative performance evaluation" Journal of Electronic Imaging 13(1), 146–165 (January 2004).   

About Author
Name
:
Ritesh Prakash, Sanchit Saraf and Utkarsh Anand
Org./Inst.
:
Department of Mathematics and Statistics, IIT Kanpur, India
.