Optimization of a Hardware Implementation for Pulse Coupled Neural Networks for Image Applications
Pulse Coupled Neural Networks are a very useful tool for image processing and visual applications, since it has the advantages of being invariant to image changes as rotation, scale, or certain distortion. Among other characteristics, the PCNN changes a given image input into a temporal representati...
Main Authors: | Warde, Cardinal (Contributor), Sarciada, Jesus Gimeno (Author), Rivera, Horacio Lamela (Author) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor) |
Format: | Article |
Language: | English |
Published: |
SPIE,
2010-09-21T12:44:41Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
The hardware implementation of an artificial neural network using stochastic pulse rate encoding principles
by: Glover, John Sigsworth
Published: (1995) -
Optoelectronic implementations of Pulse-Coupled Neural Networks : challenges and limitations
by: Wise, Raydiance (Raydiance Raychele)
Published: (2008) -
Hardware implementation of stochastic neural networks
by: Peters, Scott J.
Published: (2013) -
Hardware implementation of stochastic neural networks
by: Peters, Scott J.
Published: (2013) -
The Hardware Implementation of Backpropagation's Neural Network
by: Yean-Nong Yang, et al.
Published: (1993)