DocumentCode
3590370
Title
Morphological expressions for DTCNN functions
Author
Brugge, M. H Ter ; Krol, R.J. ; Nijhuis, J.A.G. ; Spaanenburg, L.
Author_Institution
Dept. of Comput. Sci., Groningen Univ., Netherlands
Volume
2
fYear
1996
Firstpage
745
Abstract
Morphology is a mathematical discipline that provides algebraic manipulation for images. Such a formal framework is very well suited to the design of discrete-time cellular neural networks (DTCNNs). It is shown how morphological expressions can be transformed by algebraic rules to provide an efficient DTCNN implementation for complex operations on images. In fact, most specialized DTCNNs published in literature prove to be straight morphological derivatives, as exemplified in the design of a public transport ticketing system
Keywords
cellular neural nets; image processing; mathematical morphology; DTCNN functions; algebraic manipulation; complex operations; discrete-time cellular neural networks; image processing; morphological expressions; public transport ticketing system; Algebra; Cellular neural networks; Difference equations; Differential algebraic equations; Image analysis; Image processing; Morphology; Partial differential equations; Physics computing; Zinc;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1996., IEEE International Conference on
Print_ISBN
0-7803-3210-5
Type
conf
DOI
10.1109/ICNN.1996.548989
Filename
548989
Link To Document