Deep Learning For Image Processing Applications

Deep Learning For Image Processing Applications Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Deep Learning For Image Processing Applications book. This book definitely worth reading, it is an incredibly well-written.

Deep Learning for Image Processing Applications

D.J. Hemanth,V. Vieira Estrela
Deep Learning for Image Processing Applications Book PDF

Author : D.J. Hemanth,V. Vieira Estrela
Publisher : IOS Press
Page : 284 pages
File Size : 55,6 Mb
Release : 2017-12
Category : Computers
ISBN : 9781614998228

Get Book

Deep Learning for Image Processing Applications by D.J. Hemanth,V. Vieira Estrela Pdf

Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, and security and surveillance. The aim of this book, ‘Deep Learning for Image Processing Applications’, is to offer concepts from these two areas in the same platform, and the book brings together the shared ideas of professionals from academia and research about problems and solutions relating to the multifaceted aspects of the two disciplines. The first chapter provides an introduction to deep learning, and serves as the basis for much of what follows in the subsequent chapters, which cover subjects including: the application of deep neural networks for image classification; hand gesture recognition in robotics; deep learning techniques for image retrieval; disease detection using deep learning techniques; and the comparative analysis of deep data and big data. The book will be of interest to all those whose work involves the use of deep learning and image processing techniques.

Deep Learning for Multimedia Processing Applications

Uzair Aslam Bhatti,Huang Mengxing,Jingbing Li,Sibghat Ullah Bazai,Muhammad Aamir
Deep Learning for Multimedia Processing Applications Book PDF

Author : Uzair Aslam Bhatti,Huang Mengxing,Jingbing Li,Sibghat Ullah Bazai,Muhammad Aamir
Publisher : CRC Press
Page : 481 pages
File Size : 55,5 Mb
Release : 2024-02-21
Category : Computers
ISBN : 9781003828051

Get Book

Deep Learning for Multimedia Processing Applications by Uzair Aslam Bhatti,Huang Mengxing,Jingbing Li,Sibghat Ullah Bazai,Muhammad Aamir Pdf

Deep Learning for Multimedia Processing Applications is a comprehensive guide that explores the revolutionary impact of deep learning techniques in the field of multimedia processing. Written for a wide range of readers, from students to professionals, this book offers a concise and accessible overview of the application of deep learning in various multimedia domains, including image processing, video analysis, audio recognition, and natural language processing. Divided into two volumes, Volume Two delves into advanced topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs), explaining their unique capabilities in multimedia tasks. Readers will discover how deep learning techniques enable accurate and efficient image recognition, object detection, semantic segmentation, and image synthesis. The book also covers video analysis techniques, including action recognition, video captioning, and video generation, highlighting the role of deep learning in extracting meaningful information from videos. Furthermore, the book explores audio processing tasks such as speech recognition, music classification, and sound event detection using deep learning models. It demonstrates how deep learning algorithms can effectively process audio data, opening up new possibilities in multimedia applications. Lastly, the book explores the integration of deep learning with natural language processing techniques, enabling systems to understand, generate, and interpret textual information in multimedia contexts. Throughout the book, practical examples, code snippets, and real-world case studies are provided to help readers gain hands-on experience in implementing deep learning solutions for multimedia processing. Deep Learning for Multimedia Processing Applications is an essential resource for anyone interested in harnessing the power of deep learning to unlock the vast potential of multimedia data.

Deep Learning in Computer Vision

Mahmoud Hassaballah,Ali Ismail Awad
Deep Learning in Computer Vision Book PDF

Author : Mahmoud Hassaballah,Ali Ismail Awad
Publisher : CRC Press
Page : 261 pages
File Size : 52,9 Mb
Release : 2020-03-23
Category : Computers
ISBN : 9781351003803

Get Book

Deep Learning in Computer Vision by Mahmoud Hassaballah,Ali Ismail Awad Pdf

Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, for postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition.

Deep Learning for Multimedia Processing Applications

Uzair Aslam Bhatti,Huang Mengxing,Jingbing Li,Sibghat Ullah Bazai,Muhammad Aamir
Deep Learning for Multimedia Processing Applications Book PDF

Author : Uzair Aslam Bhatti,Huang Mengxing,Jingbing Li,Sibghat Ullah Bazai,Muhammad Aamir
Publisher : CRC Press
Page : 0 pages
File Size : 42,7 Mb
Release : 2024-02-12
Category : Computers
ISBN : 103254824X

Get Book

Deep Learning for Multimedia Processing Applications by Uzair Aslam Bhatti,Huang Mengxing,Jingbing Li,Sibghat Ullah Bazai,Muhammad Aamir Pdf

This book is a comprehensive guide that explores the revolutionary impact of deep learning techniques in the field of multimedia processing. Written for a wide range of readers, from students to professionals, this book offers a concise and accessible overview of the application of deep learning in various multimedia domains.

Machine Learning in Image Analysis and Pattern Recognition

Munish Kumar , R. K. Sharma,Ishwar Sethi
Machine Learning in Image Analysis and Pattern Recognition Book PDF

Author : Munish Kumar , R. K. Sharma,Ishwar Sethi
Publisher : MDPI
Page : 112 pages
File Size : 49,7 Mb
Release : 2021-09-08
Category : Technology & Engineering
ISBN : 9783036517148

Get Book

Machine Learning in Image Analysis and Pattern Recognition by Munish Kumar , R. K. Sharma,Ishwar Sethi Pdf

This book is to chart the progress in applying machine learning, including deep learning, to a broad range of image analysis and pattern recognition problems and applications. In this book, we have assembled original research articles making unique contributions to the theory, methodology and applications of machine learning in image analysis and pattern recognition.

Research Anthology on Artificial Intelligence Applications in Security

Management Association, Information Resources
Research Anthology on Artificial Intelligence Applications in Security Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2253 pages
File Size : 40,6 Mb
Release : 2020-11-27
Category : Computers
ISBN : 9781799877486

Get Book

Research Anthology on Artificial Intelligence Applications in Security by Management Association, Information Resources Pdf

As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped potential that conventional systems and human security systems cannot meet, leading AI to be a frontrunner in the fight against malware, cyber-attacks, and various security issues. However, even with the tremendous progress AI has made within the sphere of security, it’s important to understand the impacts, implications, and critical issues and challenges of AI applications along with the many benefits and emerging trends in this essential field of security-based research. Research Anthology on Artificial Intelligence Applications in Security seeks to address the fundamental advancements and technologies being used in AI applications for the security of digital data and information. The included chapters cover a wide range of topics related to AI in security stemming from the development and design of these applications, the latest tools and technologies, as well as the utilization of AI and what challenges and impacts have been discovered along the way. This resource work is a critical exploration of the latest research on security and an overview of how AI has impacted the field and will continue to advance as an essential tool for security, safety, and privacy online. This book is ideally intended for cyber security analysts, computer engineers, IT specialists, practitioners, stakeholders, researchers, academicians, and students interested in AI applications in the realm of security research.

Practical Machine Learning and Image Processing

Himanshu Singh
Practical Machine Learning and Image Processing Book PDF

Author : Himanshu Singh
Publisher : Apress
Page : 177 pages
File Size : 55,6 Mb
Release : 2019-02-26
Category : Computers
ISBN : 9781484241493

Get Book

Practical Machine Learning and Image Processing by Himanshu Singh Pdf

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.

Trends and Advancements of Image Processing and Its Applications

Prashant Johri,Mario José Diván,Ruqaiya Khanam,Marcelo Marciszack,Adrián Will
Trends and Advancements of Image Processing and Its Applications Book PDF

Author : Prashant Johri,Mario José Diván,Ruqaiya Khanam,Marcelo Marciszack,Adrián Will
Publisher : Springer Nature
Page : 306 pages
File Size : 49,9 Mb
Release : 2021-11-13
Category : Computers
ISBN : 9783030759452

Get Book

Trends and Advancements of Image Processing and Its Applications by Prashant Johri,Mario José Diván,Ruqaiya Khanam,Marcelo Marciszack,Adrián Will Pdf

This book covers current technological innovations and applications in image processing, introducing analysis techniques and describing applications in remote sensing and manufacturing, among others. The authors include new concepts of color space transformation like color interpolation, among others. Also, the concept of Shearlet Transform and Wavelet Transform and their implementation are discussed. The authors include a perspective about concepts and techniques of remote sensing like image mining, geographical, and agricultural resources. The book also includes several applications of human organ biomedical image analysis. In addition, the principle of moving object detection and tracking — including recent trends in moving vehicles and ship detection – is described. Presents developments of current research in various areas of image processing; Includes applications of image processing in remote sensing, astronomy, and manufacturing; Pertains to researchers, academics, students, and practitioners in image processing.

Deep Learning in Object Detection and Recognition

Xiaoyue Jiang,Abdenour Hadid,Yanwei Pang,Eric Granger,Xiaoyi Feng
Deep Learning in Object Detection and Recognition Book PDF

Author : Xiaoyue Jiang,Abdenour Hadid,Yanwei Pang,Eric Granger,Xiaoyi Feng
Publisher : Springer
Page : 0 pages
File Size : 41,5 Mb
Release : 2020-11-27
Category : Computers
ISBN : 9811506515

Get Book

Deep Learning in Object Detection and Recognition by Xiaoyue Jiang,Abdenour Hadid,Yanwei Pang,Eric Granger,Xiaoyi Feng Pdf

This book discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks.

Machine Learning Algorithms for Signal and Image Processing

Deepika Ghai,Suman Lata Tripathi,Sobhit Saxena,Manash Chanda,Mamoun Alazab
Machine Learning Algorithms for Signal and Image Processing Book PDF

Author : Deepika Ghai,Suman Lata Tripathi,Sobhit Saxena,Manash Chanda,Mamoun Alazab
Publisher : John Wiley & Sons
Page : 516 pages
File Size : 40,9 Mb
Release : 2022-11-18
Category : Technology & Engineering
ISBN : 9781119861843

Get Book

Machine Learning Algorithms for Signal and Image Processing by Deepika Ghai,Suman Lata Tripathi,Sobhit Saxena,Manash Chanda,Mamoun Alazab Pdf

Machine Learning Algorithms for Signal and Image Processing Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks. Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as: Speech recognition, image reconstruction, object classification and detection, and text processing Healthcare monitoring, biomedical systems, and green energy How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detection Professionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.

Object Detection with Deep Learning Models

S Poonkuntran,Rajesh Kumar Dhanraj,Balamurugan Balusamy
Object Detection with Deep Learning Models Book PDF

Author : S Poonkuntran,Rajesh Kumar Dhanraj,Balamurugan Balusamy
Publisher : CRC Press
Page : 345 pages
File Size : 43,9 Mb
Release : 2022-11-01
Category : Computers
ISBN : 9781000686791

Get Book

Object Detection with Deep Learning Models by S Poonkuntran,Rajesh Kumar Dhanraj,Balamurugan Balusamy Pdf

Object Detection with Deep Learning Models discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks. Features: A structured overview of deep learning in object detection A diversified collection of applications of object detection using deep neural networks Emphasize agriculture and remote sensing domains Exclusive discussion on moving object detection

Deep Learning in Medical Image Analysis

Gobert Lee,Hiroshi Fujita
Deep Learning in Medical Image Analysis Book PDF

Author : Gobert Lee,Hiroshi Fujita
Publisher : Springer Nature
Page : 184 pages
File Size : 43,7 Mb
Release : 2020-02-06
Category : Medical
ISBN : 9783030331283

Get Book

Deep Learning in Medical Image Analysis by Gobert Lee,Hiroshi Fujita Pdf

This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.

Handbook of Deep Learning Applications

Valentina Emilia Balas,Sanjiban Sekhar Roy,Dharmendra Sharma,Pijush Samui
Handbook of Deep Learning Applications Book PDF

Author : Valentina Emilia Balas,Sanjiban Sekhar Roy,Dharmendra Sharma,Pijush Samui
Publisher : Springer
Page : 383 pages
File Size : 47,7 Mb
Release : 2019-02-25
Category : Technology & Engineering
ISBN : 9783030114794

Get Book

Handbook of Deep Learning Applications by Valentina Emilia Balas,Sanjiban Sekhar Roy,Dharmendra Sharma,Pijush Samui Pdf

This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.

Convolutional Neural Networks for Medical Image Processing Applications

Saban Ozturk
Convolutional Neural Networks for Medical Image Processing Applications Book PDF

Author : Saban Ozturk
Publisher : CRC Press
Page : 294 pages
File Size : 45,6 Mb
Release : 2022-12-23
Category : Science
ISBN : 9781000818055

Get Book

Convolutional Neural Networks for Medical Image Processing Applications by Saban Ozturk Pdf

The rise in living standards increases the expectation of people in almost every field. At the forefront is health. Over the past few centuries, there have been major developments in healthcare. Medical device technology and developments in artificial intelligence (AI) are among the most important ones. The improving technology and our ability to harness the technology effectively by means such as AI have led to unprecedented advances, resulting in early diagnosis of diseases. AI algorithms enable the fast and early evaluation of images from medical devices to maximize the benefits. While developments in the field of AI were quickly adapted to the field of health, in some cases this contributed to the formation of innovative artificial intelligence algorithms. Today, the most effective artificial intelligence method is accepted as deep learning. Convolutional neural network (CNN) architectures are deep learning algorithms used for image processing. This book contains applications of CNN methods. The content is quite extensive, including the application of different CNN methods to various medical image processing problems. Readers will be able to analyze the effects of CNN methods presented in the book in medical applications.

Challenges and Applications for Implementing Machine Learning in Computer Vision

Kashyap, Ramgopal,Kumar, A.V. Senthil
Challenges and Applications for Implementing Machine Learning in Computer Vision Book PDF

Author : Kashyap, Ramgopal,Kumar, A.V. Senthil
Publisher : IGI Global
Page : 293 pages
File Size : 43,6 Mb
Release : 2019-10-04
Category : Computers
ISBN : 9781799801849

Get Book

Challenges and Applications for Implementing Machine Learning in Computer Vision by Kashyap, Ramgopal,Kumar, A.V. Senthil Pdf

Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.