Lanterna Rally
eBook PDF Download Digital Library
Second International Workshop on Cellular Neural Networks and Their Applications, 1992
Author:
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Published: 1992
Total Pages: 304
ISBN-13:
DOWNLOAD EBOOK →CNNA '92
Proceedings [of The] Second International Workshop on Cellular Neural Networks and Their Applications, [held in The] Technical University Munich, Munich, Germany, October 14-16, 1992
2nd International Workshop on Cellular Neural Networks and Their Applications
Proceedings of International Workshop on Cellular Neural Networks and Their Applications (2nd) Held in Munich, Germany, October 14 -16, 1992
Author:
Publisher:
Published: 1992
Total Pages: 294
ISBN-13:
DOWNLOAD EBOOK →Various types of CNNs are summarized and the taxonomy of CNN is given according to the different types of grids, processors, interactions, and modes of operation. Next, the CNN Universal Machine is introduced. The architecture and the key features are outlined. A quite exhaustive list of references completes the paper.
IEEE International Workshop on Cellular Neural Networks and Their Applications
Proceedings of the IEEE International Workshop on Cellular Neural Networks and Their Applications
Advances in Imaging and Electron Physics
Author:
Publisher: Academic Press
Published: 1999-09-28
Total Pages: 473
ISBN-13: 008057775X
DOWNLOAD EBOOK →Advances in Imaging & Electron Physics merges two long-running serials--Advances in Electronics & Electron Physics and Advances in Optical & Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science and digital image processing, electromagnetic wave propagation, electron microscopy, and the computing methods used in all these domains.
Cellular Neural Networks and Image Processing
Author: Tao Yang
Publisher:
Published: 2002
Total Pages: 376
ISBN-13:
DOWNLOAD EBOOK →Yang, who is not identified, applies the design principles of cellular image operators to a hardware platform called cellular neural network (CNN), a VLSI-oriented vision chip invented in 1988. Having presented different local rules in previous works, he here examines many local rule classes that can be implemented by a CNN, exploiting such unique characteristics as its ability to process three source images in parallel and so define computations among the three. The study is second in his trilogy on cellular image processing algorithms and cellular hardware platforms. Annotation copyrighted by Book News, Inc., Portland, OR.
