IMPLEMENTATION OF BINARY AND GRAY-SCALE MATHEMATICAL MORPHOLOGY ON THE CNN UNIVERSAL MACHINE

Authors
ZARANDY A STOFFELS A ROSKA T CHUA LO
Citation
A. Zarandy et al., IMPLEMENTATION OF BINARY AND GRAY-SCALE MATHEMATICAL MORPHOLOGY ON THE CNN UNIVERSAL MACHINE, IEEE transactions on circuits and systems. 1, Fundamental theory andapplications, 45(2), 1998, pp. 163-168
Citations number
16
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
IEEE transactions on circuits and systems. 1, Fundamental theory andapplications → ACNP
ISSN journal
10577122
Volume
45
Issue
2
Year of publication
1998
Pages
163 - 168
Database
ISI
SICI code
1057-7122(1998)45:2<163:IOBAGM>2.0.ZU;2-Q
Abstract
A cellular neural network(CNN)-based morphological engine is proposed. An effective implementation method of binary and gray-scale erosion, dilation, and reconstruction is introduced, The binary morphological o perators are successfully implemented on an actual CNN universal chip. Experimental results are shown.