TY - GEN
T1 - A new algorithm for training multi-layered morphological networks
AU - Barrón, Ricardo
AU - Sossa, Humberto
AU - Cruz, Benjamin
PY - 2007
Y1 - 2007
N2 - In this work we present an algorithm for training an associative memory based on the so-called multi-layered morphological perceptron with maximal support neighborhoods. We compare the proposal with the original one by performing some experiments with real images. We show the superiority of the new one. We also give formal conditions for correct classification. We show that the proposal can be applied to the case of gray-level images and not only binary images.
AB - In this work we present an algorithm for training an associative memory based on the so-called multi-layered morphological perceptron with maximal support neighborhoods. We compare the proposal with the original one by performing some experiments with real images. We show the superiority of the new one. We also give formal conditions for correct classification. We show that the proposal can be applied to the case of gray-level images and not only binary images.
KW - Associative memories
KW - Maximal support neighborhoods
KW - Morphological neural networks
UR - http://www.scopus.com/inward/record.url?scp=38549112955&partnerID=8YFLogxK
M3 - Contribución a la conferencia
SN - 9783540767244
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 546
EP - 555
BT - Progress in Pattern Recognition, Image Analysis and Applications - 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, Proceedings
T2 - 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007
Y2 - 13 November 2007 through 16 November 2007
ER -