Multilevel training of binary morphological operators

This page is an updated companion site to the paper

Nina S. T. Hirata, Multilevel training of binary morphological operators IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 31, Issue 4, pp.707-720, April 2009
(citation in BibTeX format)

Last update: April 2014

>>> NEW! Source code is now available at trioslib.sourceforge.net !

>>> Other related publications:

M.M. Dornelles and N. S. T. Hirata, A genetic algorithm based approach for combining binary image operators. 21st International Conference on Pattern Recognition, 2012, Tsukuba.
Igor dos Santos Montagner, Roberto Hirata Jr, Nina S.T. Hirata, TRIOS - an open source toolbox for training image operators from samples, Workshop of Works in Progress (WIP) in SIBGRAPI 2012 (XXV Conference on Graphics, Patterns and Images), 2012
HIRATA, N. S. T. . Morphological Operator Design from Training Data: A State of the Art Overview. In: Halina Kwasnicka; Lakhmi C. Jain. (Org.). Innovations in Intelligent Image Analysis, Springer, 2011, p. 31-58.
Santos, Carlos S. ; Hirata, Nina S.T. ; Hirata, Roberto . An Information Theory framework for two-stage binary image operator design. Pattern Recognition Letters, v. 31, p. 297-306, 2010.