DocumentCode
1581725
Title
Morphological operators on the CNN Universal Machine
Author
Zarándy, Akos ; Stoffels, André ; Roska, Tamás ; Chua, Leon O.
Author_Institution
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
fYear
1996
Firstpage
151
Lastpage
156
Abstract
We show that the basic morphological operators can be implemented on the CNN Universal Machine. This includes binary morphological operators that were tested and verified on a working CNN Universal chip. We also show different implementation methods for grayscale morphology using different template types
Keywords
cellular neural nets; image processing; mathematical morphology; neural chips; CNN Universal Machine; CNN Universal chip; binary morphological operators; grayscale morphology; Cellular neural networks; Gray-scale; Image processing; Image reconstruction; Image segmentation; Morphological operations; Morphology; Power system economics; Testing; Turing machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on
Conference_Location
Seville
Print_ISBN
0-7803-3261-X
Type
conf
DOI
10.1109/CNNA.1996.566512
Filename
566512
Link To Document