A Biologically Inspired Neural Network Architecture For Image Processing
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A Biologically Inspired Neural Network Architecture For Image Processing
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Author : Laurence Edward Lazofson (CAPT, USAF.)
language : en
Publisher:
Release Date : 1990
A Biologically Inspired Neural Network Architecture For Image Processing written by Laurence Edward Lazofson (CAPT, USAF.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Image processing categories.
A Biologically Inspired Neural Network Architecture For Image Processing
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Author : Laurence Edward Lazofson
language : en
Publisher:
Release Date : 1990
A Biologically Inspired Neural Network Architecture For Image Processing written by Laurence Edward Lazofson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Image processing categories.
This thesis project included a literature survey of biological and artificial neural network research followed by development and testing of high- order and image recognition hierarchical neural network algorithms. Following training, performance testing of second-order and third-order networks yielded maximum accuracies comparable to those achieved by multilayer perceptron classifiers operating on test data sets. Several versions of an image classification algorithm were tested for learning performance using pixel data from forward-looking infrared (FLIR) images of tanks, trucks, target boards, and clutter. Employing the biologically-motivated Lambertization and contrast normalization of pixel windows, correlations with multiple Gabor function wavelets, and a 'phase synchronizing' local averaging routine, the image classification network extracted data features. Different network versions fed the extracted features to varying output classification schemes. To improve separation of problem classes, recommendations were made for varying the parameters of the Gabor function wavelets and modifying the phase synchronization scheme to extract more suitable features from image pixel data.
A Biologically Inspired Neural Network Architecture For Image Processing
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Author : Laurence Edward Lazofson
language : en
Publisher:
Release Date : 1990
A Biologically Inspired Neural Network Architecture For Image Processing written by Laurence Edward Lazofson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Image processing categories.
This thesis project included a literature survey of biological and artificial neural network research followed by development and testing of high- order and image recognition hierarchical neural network algorithms. Following training, performance testing of second-order and third-order networks yielded maximum accuracies comparable to those achieved by multilayer perceptron classifiers operating on test data sets. Several versions of an image classification algorithm were tested for learning performance using pixel data from forward-looking infrared (FLIR) images of tanks, trucks, target boards, and clutter. Employing the biologically-motivated Lambertization and contrast normalization of pixel windows, correlations with multiple Gabor function wavelets, and a 'phase synchronizing' local averaging routine, the image classification network extracted data features. Different network versions fed the extracted features to varying output classification schemes. To improve separation of problem classes, recommendations were made for varying the parameters of the Gabor function wavelets and modifying the phase synchronization scheme to extract more suitable features from image pixel data.
Engineering Applications Of Bio Inspired Artificial Neural Networks
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Author : Jose Mira
language : en
Publisher: Springer Science & Business Media
Release Date : 1999-05-19
Engineering Applications Of Bio Inspired Artificial Neural Networks written by Jose Mira 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 1999-05-19 with Computers categories.
This book constitutes, together with its compagnion LNCS 1606, the refereed proceedings of the International Work-Conference on Artificial and Neural Networks, IWANN'99, held in Alicante, Spain in June 1999. The 91 revised papers presented were carefully reviewed and selected for inclusion in the book. This volume is devoted to applications of biologically inspired artificial neural networks in various engineering disciplines. The papers are organized in parts on artificial neural nets simulation and implementation, image processing, and engineering applications.
Bio Inspired Physiological Signal S And Medical Image S Neural Processing Systems Based On Deep Learning And Mathematical Modeling For Implementing Bio Engineering Applications In Medical And Industrial Fields
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Author : Francesco Rundo
language : en
Publisher: Frontiers Media SA
Release Date : 2021-12-31
Bio Inspired Physiological Signal S And Medical Image S Neural Processing Systems Based On Deep Learning And Mathematical Modeling For Implementing Bio Engineering Applications In Medical And Industrial Fields written by Francesco Rundo and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-31 with Medical categories.
Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Processing
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Author : Tobias Schlosser
language : en
Publisher:
Release Date : 2024-05-27
Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Processing written by Tobias Schlosser and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-27 with categories.
Bio Inspired Hybrid Intelligent Systems For Image Analysis And Pattern Recognition
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Author : Patricia Melin
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-09-30
Bio Inspired Hybrid Intelligent Systems For Image Analysis And Pattern Recognition written by Patricia Melin 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 2009-09-30 with Computers categories.
Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems. The articles are divided into four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques. The third part contains papers that apply hybrid intelligent systems to the problem of time series analysis and prediction, while the fourth one shows papers dealing with bio-inspired models in optimization and robotics applications. An edited book in which both theoretical and application aspects are covered.
Image Processing Using Pulse Coupled Neural Networks
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Author : Thomas Lindblad
language : en
Publisher: Springer
Release Date : 2010-10-14
Image Processing Using Pulse Coupled Neural Networks written by Thomas Lindblad and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-14 with Technology & Engineering categories.
This is the first book to explain and demonstrate the tremendous ability of Pulse-Coupled Neural Networks (PCNNs) when applied to the field of image processing. PCNNs and their derivatives are biologically inspired models that are powerful tools for extracting texture, segments, and edges from images. As these attributes form the foundations of most image processing tasks, the use of PCNNs facilitates traditional tasks such as recognition, foveation, and image fusion. PCNN technology has also paved the way for new image processing techniques such as object isolation, spiral image fusion, image signatures, and content-based image searches. This volume contains examples of several image processing applications, as well as a review of hardware implementations.
Computational Vision And Bio Inspired Computing
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Author : S. Smys
language : en
Publisher: Springer Nature
Release Date : 2021-06-14
Computational Vision And Bio Inspired Computing written by S. Smys and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-14 with Technology & Engineering categories.
This book includes selected papers from the 4th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2020), held in Coimbatore, India, from November 19 to 20, 2020. This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.
Bio Inspired Applications Of Connectionism
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Author : Jose Mira
language : en
Publisher: Springer
Release Date : 2003-06-29
Bio Inspired Applications Of Connectionism written by Jose Mira and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-06-29 with Computers categories.
Underlying most of the IWANN calls for papers is the aim to reassume some of the motivations of the groundwork stages of biocybernetics and the later bionics formulations and to try to reconsider the present value of two basic questions. The?rstoneis:“Whatdoesneurosciencebringintocomputation(thenew bionics)?” That is to say, how can we seek inspiration in biology? Titles such as “computational intelligence”, “arti?cial neural nets”, “genetic algorithms”, “evolutionary hardware”, “evolutive architectures”, “embryonics”, “sensory n- romorphic systems”, and “emotional robotics” are representatives of the present interest in “biological electronics” (bionics). Thesecondquestionis:“Whatcanreturncomputationtoneuroscience(the new neurocybernetics)?” That is to say, how can mathematics, electronics, c- puter science, and arti?cial intelligence help the neurobiologists to improve their experimental data modeling and to move a step forward towards the understa- ing of the nervous system? Relevant here are the general philosophy of the IWANN conferences, the sustained interdisciplinary approach, and the global strategy, again and again to bring together physiologists and computer experts to consider the common and pertinent questions and the shared methods to answer these questions.