Title :
Implementation of binary and gray-scale mathematical morphology 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
fDate :
2/1/1998 12:00:00 AM
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 operators are successfully implemented on an actual CNN universal chip. Experimental results are shown
Keywords :
cellular neural nets; image processing; image reconstruction; mathematical morphology; neural chips; CNN universal chip; CNN universal machine; CNN-based morphological engine; binary mathematical morphology; cellular neural network; dilation; erosion; gray-scale mathematical morphology; reconstruction; Cellular neural networks; Engines; Gray-scale; Image reconstruction; Integrated circuit interconnections; Laboratories; Morphology; Optical devices; Optical feedback; Turing machines;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
