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
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;
Conference_Titel :
Neural Networks, 1996., IEEE International Conference on
Print_ISBN :
0-7803-3210-5
DOI :
10.1109/ICNN.1996.548989
