New Plugins: Cluster based Thesholding Techniques

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Cluster based Thesholding Techniques


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).

Submitted by Ritesh Prakash, Sanchit Saraf and Utkarsh Anand (2nd
Year, Indian Institute of Technology, Kanpur).


- Image Apprentice Team,
(The C/C++ based Digital Image Processing Learner's Toolkit)
http://www.adislindia.com/login/pluginlinks.php