Image Processing using Pulse-Coupled Neural Networks

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Publisher : Springer Science & Business Media
ISBN 13 : 1447136179
Total Pages : 154 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Image Processing using Pulse-Coupled Neural Networks by : Thomas Lindblad

Download or read book Image Processing using Pulse-Coupled Neural Networks written by Thomas Lindblad and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: PCNNs represent a new advance in imaging technology, allowing images to be refined to levels well beyond that of the original. This volume provides an introduction to the topic by reviewing the theoretical foundations as well as a number of image processing applications, including segmentation, edge extraction, texture extraction, object identification, object isolation, motion processing, noise suppression, and image fusion. This is the first book to cover PCNN technology, an area which will have many applications in medical, military and industrial imaging.

Image Processing using Pulse-Coupled Neural Networks

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Publisher : Springer Science & Business Media
ISBN 13 : 3642368778
Total Pages : 246 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Image Processing using Pulse-Coupled Neural Networks by : Thomas Lindblad

Download or read book Image Processing using Pulse-Coupled Neural Networks written by Thomas Lindblad and published by Springer Science & Business Media. This book was released on 2013-05-13 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image processing algorithms based on the mammalian visual cortex are powerful tools for extraction information and manipulating images. This book reviews the neural theory and translates them into digital models. Applications are given in areas of image recognition, foveation, image fusion and information extraction. The third edition reflects renewed international interest in pulse image processing with updated sections presenting several newly developed applications. This edition also introduces a suite of Python scripts that assist readers in replicating results presented in the text and to further develop their own applications.

Image Processing Using Pulse-Coupled Neural Networks

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Publisher : Springer
ISBN 13 : 9783540806509
Total Pages : 164 pages
Book Rating : 4.8/5 (65 download)

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Book Synopsis Image Processing Using Pulse-Coupled Neural Networks by : Thomas Lindblad

Download or read book Image Processing Using Pulse-Coupled Neural Networks written by Thomas Lindblad and published by Springer. This book was released on 2009-09-02 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Image Processing Using Pulse-Coupled Neural Networks

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 9783540242185
Total Pages : 184 pages
Book Rating : 4.2/5 (421 download)

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Book Synopsis Image Processing Using Pulse-Coupled Neural Networks by : Thomas Lindblad

Download or read book Image Processing Using Pulse-Coupled Neural Networks written by Thomas Lindblad and published by Springer Science & Business Media. This book was released on 2005-08-02 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: * Weitere Angaben Verfasser: Thomas Lindblad is a professor at the Royal Institute of Technology (Physics) in Stockholm. Working and teaching nuclear and environmental physics his main interest is with sensors, signal processing and intelligent data analysis of torrent data from experiments on-line accelerators, in space, etc. Jason Kinser is an associate professor at George Mason University. He has developed a plethora of image processing applications in the medical, military, and industrial fields. He has been responsible for the conversion of PCNN theory into practical applications providing many improvements in both speed and performance

Applications of Pulse-Coupled Neural Networks

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Publisher : Springer Science & Business Media
ISBN 13 : 3642137458
Total Pages : 199 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Applications of Pulse-Coupled Neural Networks by : Yide Ma

Download or read book Applications of Pulse-Coupled Neural Networks written by Yide Ma and published by Springer Science & Business Media. This book was released on 2011-09-02 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Applications of Pulse-Coupled Neural Networks" explores the fields of image processing, including image filtering, image segmentation, image fusion, image coding, image retrieval, and biometric recognition, and the role of pulse-coupled neural networks in these fields. This book is intended for researchers and graduate students in artificial intelligence, pattern recognition, electronic engineering, and computer science. Prof. Yide Ma conducts research on intelligent information processing, biomedical image processing, and embedded system development at the School of Information Science and Engineering, Lanzhou University, China.

Applications of Pulse Coupled Neural Networks

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Publisher :
ISBN 13 : 9787040279788
Total Pages : 199 pages
Book Rating : 4.2/5 (797 download)

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Book Synopsis Applications of Pulse Coupled Neural Networks by : Yide Ma

Download or read book Applications of Pulse Coupled Neural Networks written by Yide Ma and published by . This book was released on 2010 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Practical Machine Learning and Image Processing

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Publisher : Apress
ISBN 13 : 1484241495
Total Pages : 177 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Practical Machine Learning and Image Processing by : Himanshu Singh

Download or read book Practical Machine Learning and Image Processing written by Himanshu Singh and published by Apress. This book was released on 2019-02-26 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You’ll see the OpenCV algorithms and how to use them for image processing. The next section looks at advanced machine learning and deep learning methods for image processing and classification. You’ll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you’ll explore how models are made in real time and then deployed using various DevOps tools. All the concepts in Practical Machine Learning and Image Processing are explained using real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for customized application. What You Will LearnDiscover image-processing algorithms and their applications using Python Explore image processing using the OpenCV library Use TensorFlow, scikit-learn, NumPy, and other libraries Work with machine learning and deep learning algorithms for image processing Apply image-processing techniques to five real-time projects Who This Book Is For Data scientists and software developers interested in image processing and computer vision.

Intelligence Science and Big Data Engineering

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Publisher : Springer
ISBN 13 : 3319677772
Total Pages : 691 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Intelligence Science and Big Data Engineering by : Yi Sun

Download or read book Intelligence Science and Big Data Engineering written by Yi Sun and published by Springer. This book was released on 2017-09-14 with total page 691 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 7th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2017, held in Dalian, China, in September 2017.The 48 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 121 submissions. They deal with statistics and learning; deep neural networks; faces and people; objects; classification and clustering; imaging; biomedical signal processing; and recommendation.

Non-Cooperative Target Tracking, Fusion and Control

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Publisher : Springer
ISBN 13 : 3319907166
Total Pages : 340 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Non-Cooperative Target Tracking, Fusion and Control by : Zhongliang Jing

Download or read book Non-Cooperative Target Tracking, Fusion and Control written by Zhongliang Jing and published by Springer. This book was released on 2018-06-25 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a concise and comprehensive overview of non-cooperative target tracking, fusion and control. Focusing on algorithms rather than theories for non-cooperative targets including air and space-borne targets, this work explores a number of advanced techniques, including Gaussian mixture cardinalized probability hypothesis density (CPHD) filter, optimization on manifold, construction of filter banks and tight frames, structured sparse representation, and others. Containing a variety of illustrative and computational examples, Non-cooperative Target Tracking, Fusion and Control will be useful for students as well as engineers with an interest in information fusion, aerospace applications, radar data processing and remote sensing.

Nature-Inspired Design of Hybrid Intelligent Systems

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Publisher : Springer
ISBN 13 : 331947054X
Total Pages : 838 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Nature-Inspired Design of Hybrid Intelligent Systems by : Patricia Melin

Download or read book Nature-Inspired Design of Hybrid Intelligent Systems written by Patricia Melin and published by Springer. This book was released on 2016-12-08 with total page 838 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book’s third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design and application of different hybrid intelligent systems.

Advances in Neural Networks - ISNN 2007

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Publisher : Springer Science & Business Media
ISBN 13 : 3540723951
Total Pages : 1210 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Advances in Neural Networks - ISNN 2007 by : Derong Liu

Download or read book Advances in Neural Networks - ISNN 2007 written by Derong Liu and published by Springer Science & Business Media. This book was released on 2007-07-16 with total page 1210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is part of a three volume set that constitutes the refereed proceedings of the 4th International Symposium on Neural Networks, ISNN 2007, held in Nanjing, China in June 2007. Coverage includes neural networks for control applications, robotics, data mining and feature extraction, chaos and synchronization, support vector machines, fault diagnosis/detection, image/video processing, and applications of neural networks.

Artificial Neural Networks – ICANN 2009

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Publisher : Springer Science & Business Media
ISBN 13 : 3642042732
Total Pages : 1062 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Artificial Neural Networks – ICANN 2009 by : Cesare Alippi

Download or read book Artificial Neural Networks – ICANN 2009 written by Cesare Alippi and published by Springer Science & Business Media. This book was released on 2009-09-03 with total page 1062 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is part of the two-volume proceedings of the 19th International Conf- ence on Artificial Neural Networks (ICANN 2009), which was held in Cyprus during September 14–17, 2009. The ICANN conference is an annual meeting sp- sored by the European Neural Network Society (ENNS), in cooperation with the - ternational Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS). ICANN 2009 was technically sponsored by the IEEE Computational Intel- gence Society. This series of conferences has been held annually since 1991 in various European countries and covers the field of neurocomputing, learning systems and related areas. Artificial neural networks provide an information-processing structure inspired by biological nervous systems. They consist of a large number of highly interconnected processing elements, with the capability of learning by example. The field of artificial neural networks has evolved significantly in the last two decades, with active partici- tion from diverse fields, such as engineering, computer science, mathematics, artificial intelligence, system theory, biology, operations research, and neuroscience. Artificial neural networks have been widely applied for pattern recognition, control, optimization, image processing, classification, signal processing, etc.

Advances in Electrical and Computer Technologies

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Publisher : Springer Nature
ISBN 13 : 9811590192
Total Pages : 1335 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advances in Electrical and Computer Technologies by : Thangaprakash Sengodan

Download or read book Advances in Electrical and Computer Technologies written by Thangaprakash Sengodan and published by Springer Nature. This book was released on 2021-02-26 with total page 1335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises select proceedings of the International Conference on Advances in Electrical and Computer Technologies 2020 (ICAECT 2020). The papers presented in this book are peer-reviewed and cover latest research in electrical, electronics, communication and computer engineering. Topics covered include smart grids, soft computing techniques in power systems, smart energy management systems, power electronics, feedback control systems, biomedical engineering, geo informative systems, grid computing, data mining, image and signal processing, video processing, computer vision, pattern recognition, cloud computing, pervasive computing, intelligent systems, artificial intelligence, neural network and fuzzy logic, broad band communication, mobile and optical communication, network security, VLSI, embedded systems, optical networks and wireless communication. The volume can be useful for students and researchers working in the different overlapping areas of electrical, electronics and communication engineering.

Pulse Coupled Neural Networks for the Segmentation of Magnetic Resonance Brain Images

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Publisher :
ISBN 13 : 9781423575177
Total Pages : 94 pages
Book Rating : 4.5/5 (751 download)

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Book Synopsis Pulse Coupled Neural Networks for the Segmentation of Magnetic Resonance Brain Images by : Shane Lee Abrahamson

Download or read book Pulse Coupled Neural Networks for the Segmentation of Magnetic Resonance Brain Images written by Shane Lee Abrahamson and published by . This book was released on 1996-12-01 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research develops an automated method for segmenting Magnetic Resonance (MR) brain images based on Pulse Coupled Neural Networks (PCNN). MR brain image segmentation has proven difficult, primarily due to scanning artifacts such as interscan and intrascan intensity inhomogeneities. The method developed and presented here uses a PCNN to both filter and segment MR brain images. The technique begins by preprocessing images with a PCNN filter to reduce scanning artifacts. Images are then contrast enhanced via histogram equalization. Finally, a PCNN is used to segment the images to arrive at the final result. Modifications to the original PCNN model are made that drastically improve performance while greatly reducing memory requirements. These modifications make it possible to extend the method to filter and segment three dimensionally. Volumes represented as series of images are segmented using this new method. This new three dimensional segmentation technique can be used to obtain a better segmentation of a single image or of an entire volume. Results indicate that the PCNN shows promise as an image analysis tool.

Speech, Audio, Image and Biomedical Signal Processing using Neural Networks

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Publisher : Springer Science & Business Media
ISBN 13 : 3540753974
Total Pages : 419 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Speech, Audio, Image and Biomedical Signal Processing using Neural Networks by : Bhanu Prasad

Download or read book Speech, Audio, Image and Biomedical Signal Processing using Neural Networks written by Bhanu Prasad and published by Springer Science & Business Media. This book was released on 2008-01-03 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Humans are remarkable in processing speech, audio, image and some biomedical signals. Artificial neural networks are proved to be successful in performing several cognitive, industrial and scientific tasks. This peer reviewed book presents some recent advances and surveys on the applications of artificial neural networks in the areas of speech, audio, image and biomedical signal processing. It chapters are prepared by some reputed researchers and practitioners around the globe.

International Proceedings on Advances in Soft Computing, Intelligent Systems and Applications

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Publisher : Springer
ISBN 13 : 9811052727
Total Pages : 446 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis International Proceedings on Advances in Soft Computing, Intelligent Systems and Applications by : M. Sreenivasa Reddy

Download or read book International Proceedings on Advances in Soft Computing, Intelligent Systems and Applications written by M. Sreenivasa Reddy and published by Springer. This book was released on 2017-12-28 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on the state-of-the-art technologies pertaining to advances in soft computing, intelligent system and applications. The Proceedings of ASISA 2016 presents novel and original work in soft computing, intelligent system and applications by the experts and budding researchers. These are the cutting edge technologies that have immense application in various fields. The papers discuss many real world complex problems that cannot be easily handled with traditional mathematical methods. The exact solution of the problems at hand can be achieved with soft computing techniques. Soft computing represents a collection of computational techniques inheriting inspiration from evolutionary algorithms, nature inspired algorithms, bio-inspired algorithms, neural networks and fuzzy logic.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3642102670
Total Pages : 1082 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by : Eduardo Bayro Corrochano

Download or read book Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications written by Eduardo Bayro Corrochano and published by Springer Science & Business Media. This book was released on 2009-10-26 with total page 1082 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th Iberoamerican Congress on Pattern Recognition, CIARP 2009, held in Guadalajara, Mexico, in November 2009. The 64 revised full papers presented together with 44 posters were carefully reviewed and selected from 187 submissions. The papers are organized in topical sections on image coding, processing and analysis; segmentation, analysis of shape and texture; geometric image processing and analysis; analysis of signal, speech and language; document processing and recognition; feature extraction, clustering and classification; statistical pattern recognition; neural networks for pattern recognition; computer vision; video segmentation and tracking; robot vision; intelligent remote sensing, imagery research and discovery techniques; intelligent computing for remote sensing imagery; as well as intelligent fusion and classification techniques.