Image Processing Using Cellular Neural Networks

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Image Processing Using Cellular Neural Networks

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Author : Ertugrul Saatçi
language : en
Publisher:
Release Date : 2003

Image Processing Using Cellular Neural Networks written by Ertugrul Saatçi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.

Cellular Neural Networks And Visual Computing

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Author : Leon O. Chua
language : en
Publisher: Cambridge University Press
Release Date : 2005-08-22

Cellular Neural Networks And Visual Computing written by Leon O. Chua and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-22 with Computers categories.

Cellular Nonlinear/Neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. Analogic cellular computers based on CNNs are set to change the way analog signals are processed. This unique undergraduate level textbook includes many examples and exercises, including CNN simulator and development software accessible via the Internet. It is an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of disciplines. Leon Chua, co-inventor of the CNN, and Tamàs Roska are both highly respected pioneers in the field.

Cellular Neural Networks

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Author : Martin Hänggi
language : en
Publisher: Springer Science & Business Media
Release Date : 2000-08-31

Cellular Neural Networks written by Martin Hänggi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-08-31 with Computers categories.

Cellular Neural Networks (CNNs) constitute a class of nonlinear, recurrent and locally coupled arrays of identical dynamical cells that operate in parallel. ANALOG chips are being developed for use in applications where sophisticated signal processing at low power consumption is required. Signal processing via CNNs only becomes efficient if the network is implemented in analog hardware. In view of the physical limitations that analog implementations entail, robust operation of a CNN chip with respect to parameter variations has to be insured. By far not all mathematically possible CNN tasks can be carried out reliably on an analog chip; some of them are inherently too sensitive. This book defines a robustness measure to quantify the degree of robustness and proposes an exact and direct analytical design method for the synthesis of optimally robust network parameters. The method is based on a design centering technique which is generally applicable where linear constraints have to be satisfied in an optimum way. Processing speed is always crucial when discussing signal-processing devices. In the case of the CNN, it is shown that the setting time can be specified in closed analytical expressions, which permits, on the one hand, parameter optimization with respect to speed and, on the other hand, efficient numerical integration of CNNs. Interdependence between robustness and speed issues are also addressed. Another goal pursued is the unification of the theory of continuous-time and discrete-time systems. By means of a delta-operator approach, it is proven that the same network parameters can be used for both of these classes, even if their nonlinear output functions differ. More complex CNN optimization problems that cannot be solved analytically necessitate resorting to numerical methods. Among these, stochastic optimization techniques such as genetic algorithms prove their usefulness, for example in image classification problems. Since the inception of the CNN, the problem of finding the network parameters for a desired task has been regarded as a learning or training problem, and computationally expensive methods derived from standard neural networks have been applied. Furthermore, numerous useful parameter sets have been derived by intuition. In this book, a direct and exact analytical design method for the network parameters is presented. The approach yields solutions which are optimum with respect to robustness, an aspect which is crucial for successful implementation of the analog CNN hardware that has often been neglected. `This beautifully rounded work provides many interesting and useful results, for both CNN theorists and circuit designers.' Leon O. Chua

Signal Processing Image Processing And Pattern Recognition

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Author : Tai-hoon Kim
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-11-29

Signal Processing Image Processing And Pattern Recognition written by Tai-hoon Kim and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-29 with Computers categories.

This book comprises selected papers of the International Conference on Signal Processing, Image Processing and Pattern Recognition, SIP 2011, held as Part of the Future Generation Information Technology Conference, FGIT 2011, in Conjunction with GDC 2011, in Conjunction with GDC 2011, Jeju Island, Korea, in December 2011. The papers presented were carefully reviewed and selected from numerous submissions and focus on the various aspects of signal processing, image processing and pattern recognition.

Multi Valued And Universal Binary Neurons

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Author : Igor Aizenberg
language : en
Publisher: Springer Science & Business Media
Release Date : 2000-04-30

Multi Valued And Universal Binary Neurons written by Igor Aizenberg and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-04-30 with Computers categories.

Most of this work was developed by the first two authors over a period of more than 10 years and was only available in Russian literature. With this book we present the first comprehensive treatment of this important class of neural networks in the open Western literature.".

Computer Analysis Of Images And Patterns

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Author : Dmitry Chetverikov
language : en
Publisher: Springer Science & Business Media
Release Date : 1993-08-30

Computer Analysis Of Images And Patterns written by Dmitry Chetverikov and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-08-30 with Technology & Engineering categories.

This volume constitutes the proceedings of the 5th International Conference on Computer Analysis of Images and Patterns (CAIP'93), held in Budapest, Hungary, in September 1993. Formerly, the events in this biennial conference series were thought as a forum where East European researchers and professionals from academia and industry had an opportunity to discuss their results and ideas with Western colleagues active in image processing and pattern recognition. Now, CAIP'93 has a much more international scope, and in the future these conferences will not any longertake place only in East European countries, but roam throughout whole Europe. Besides invited talks by Belikova, Gimel'farb, Haralick and Roska, the volume contains 114 contributions, either presented as lectures or posters and carefully selected by a highly competent international program committee from a total of some 230 submissions; thus the book gives a thorough survey on recent research results and their applications in image processing and pattern recognition. The proceedings is organized in 20 sections, for example on image data structures, image processing, edges and contours, Hough transforms and related methods, shape, motion, 3-D vision, character recognition and document processing, biomedical applications, industrial applications, and neural networks.

Progress In Pattern Recognition Image Analysis Computer Vision And Applications

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Author : Alvaro Pardo
language : en
Publisher: Springer
Release Date : 2015-10-24

Progress In Pattern Recognition Image Analysis Computer Vision And Applications written by Alvaro Pardo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-24 with Computers categories.

This book constitutes the refereed proceedings of the 20th Iberoamerican Congress on Pattern Recognition, CIARP 2015, held in Montevideo, Uruguay, in November 2015. The 95 papers presented were carefully reviewed and selected from 185 submissions. The papers are organized in topical sections on applications on pattern recognition; biometrics; computer vision; gesture recognition; image classification and retrieval; image coding, processing and analysis; segmentation, analysis of shape and texture; signals analysis and processing; theory of pattern recognition; video analysis, segmentation and tracking.

Artificial Neural Networks Biological Inspirations Icann 2005

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Author : Wlodzislaw Duch
language : en
Publisher: Springer
Release Date : 2007-05-22

Artificial Neural Networks Biological Inspirations Icann 2005 written by Wlodzislaw Duch and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-22 with Computers categories.

This volume is the first part of the two-volume proceedings of the International C- ference on Artificial Neural Networks (ICANN 2005), held on September 11–15, 2005 in Warsaw, Poland, with several accompanying workshops held on September 15, 2005 at the Nicolaus Copernicus University, Toru , Poland. The ICANN conference is an annual meeting organized by the European Neural Network Society in cooperation with the International Neural Network Society, the Japanese Neural Network Society, and the IEEE Computational Intelligence Society. It is the premier European event covering all topics concerned with neural networks and related areas. The ICANN series of conferences was initiated in 1991 and soon became the major European gathering for experts in those fields. In 2005 the ICANN conference was organized by the Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, and the Nicolaus Copernicus Univ- sity, Toru , Poland. From over 600 papers submitted to the regular sessions and some 10 special c- ference sessions, the International Program Committee selected – after a thorough peer-review process – about 270 papers for publication. The large number of papers accepted is certainly a proof of the vitality and attractiveness of the field of artificial neural networks, but it also shows a strong interest in the ICANN conferences.

Cellular Neural Networks And Image Processing

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Author : Tao Yang
language : en
Publisher:
Release Date : 2002

Cellular Neural Networks And Image Processing written by Tao Yang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.

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.

Artificial Intelligence And Soft Computing Icaisc 2008

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Author : Leszek Rutkowski
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-06-16

Artificial Intelligence And Soft Computing Icaisc 2008 written by Leszek Rutkowski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-16 with Computers categories.

This book constitutes the refereed proceedings of the 9th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2008, held in Zakopane, Poland, in June 2008. The 116 revised contributed papers presented were carefully reviewed and selected from 320 submissions. The papers are organized in topical sections on neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, classification, rule discovery and clustering, image analysis, speech and robotics, bioinformatics and medical applications, various problems of artificial intelligence, and agent systems.