Image Fusion Book

Image Fusion


  • Author : H.B. Mitchell
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-03-16
  • Genre: Technology & Engineering
  • Pages : 247
  • ISBN 10 : 9783642112164

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Image Fusion Excerpt :

The purpose of this book is to provide a practical introduction to the th- ries, techniques and applications of image fusion. The present work has been designed as a textbook for a one-semester ?nal-year undergraduate, or ?r- year graduate, course in image fusion. It should also be useful to practising engineers who wish to learn the concepts of image fusion and apply them to practical applications. In addition, the book may also be used as a supp- mentary text for a graduate course on topics in advanced image processing. The book complements the author’s previous work on multi-sensor data [1] fusion by concentrating exclusively on the theories, techniques and app- cations of image fusion. The book is intended to be self-contained in so far as the subject of image fusion is concerned, although some prior exposure to the ?eld of computer vision and image processing may be helpful to the reader. Apart from two preliminary chapters, the book is divided into three parts.

Remote Sensing Image Fusion Book

Remote Sensing Image Fusion


  • Author : Christine Pohl
  • Publisher : CRC Press
  • Release Date : 2016-10-03
  • Genre: Technology & Engineering
  • Pages : 266
  • ISBN 10 : 9781498730037

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Remote Sensing Image Fusion Excerpt :

Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing image fusion providing an overview on the sensors and applications. It describes data selection, application requirements and the choice of a suitable image fusion technique. It comprises a diverse selection of successful image fusion cases that are relevant to other users and other areas of interest around the world. The book helps newcomers to obtain a quick start into the practical value and benefits of multi-sensor image fusion. Experts will find this book useful to obtain an overview on the state of the art and understand current constraints that need to be solved in future research efforts. For industry professionals the book can be a great introduction and basis to understand multisensor remote sensing image exploitation and the development of commercialized image fusion software from a practical perspective. The book concludes with a chapter on current trends and future developments in remote sensing image fusion. Along with the book, RSIF website provides additional up-to-date information in the field.

Image Fusion Book

Image Fusion


  • Author : Tania Stathaki
  • Publisher : Elsevier
  • Release Date : 2011-08-29
  • Genre: Computers
  • Pages : 520
  • ISBN 10 : 0080558526

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Image Fusion Excerpt :

The growth in the use of sensor technology has led to the demand for image fusion: signal processing techniques that can combine information received from different sensors into a single composite image in an efficient and reliable manner. This book brings together classical and modern algorithms and design architectures, demonstrating through applications how these can be implemented. Image Fusion: Algorithms and Applications provides a representative collection of the recent advances in research and development in the field of image fusion, demonstrating both spatial domain and transform domain fusion methods including Bayesian methods, statistical approaches, ICA and wavelet domain techniques. It also includes valuable material on image mosaics, remote sensing applications and performance evaluation. This book will be an invaluable resource to R&D engineers, academic researchers and system developers requiring the most up-to-date and complete information on image fusion algorithms, design architectures and applications. Combines theory and practice to create a unique point of reference Contains contributions from leading experts in this rapidly-developing field Demonstrates potential uses in military, medical and civilian areas

Image Fusion Book

Image Fusion


  • Author : Gang Xiao
  • Publisher : Springer Nature
  • Release Date : 2020-08-31
  • Genre: Computers
  • Pages : 404
  • ISBN 10 : 9789811548673

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Image Fusion Excerpt :

This book systematically discusses the basic concepts, theories, research and latest trends in image fusion. It focuses on three image fusion categories – pixel, feature and decision – presenting various applications, such as medical imaging, remote sensing, night vision, robotics and autonomous vehicles. Further, it introduces readers to a new category: edge-preserving-based image fusion, and provides an overview of image fusion based on machine learning and deep learning. As such, it is a valuable resource for graduate students and scientists in the field of digital image processing and information fusion.

Image Fusion Book

Image Fusion


  • Author : Osamu Ukimura
  • Publisher : BoD – Books on Demand
  • Release Date : 2011-01-12
  • Genre: Computers
  • Pages : 442
  • ISBN 10 : 9789533076799

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Image Fusion Excerpt :

Image fusion technology has successfully contributed to various fields such as medical diagnosis and navigation, surveillance systems, remote sensing, digital cameras, military applications, computer vision, etc. Image fusion aims to generate a fused single image which contains more precise reliable visualization of the objects than any source image of them. This book presents various recent advances in research and development in the field of image fusion. It has been created through the diligence and creativity of some of the most accomplished experts in various fields.

New Advances in Image Fusion Book

New Advances in Image Fusion


  • Author : Qiguang Miao
  • Publisher : BoD – Books on Demand
  • Release Date : 2013-11-20
  • Genre: Computers
  • Pages : 146
  • ISBN 10 : 9789535112068

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New Advances in Image Fusion Excerpt :

Image Fusion is an important branch of information fusion, and it is also an important technology for image understanding and computer vision. The fusion process is to merging different images into one to get more accurate description for the scene. The original images for image fusion are always obtained by several different image sensors, or the same sensor in different operating modes. The fused image can provide more effective information for further image processing, such as image segmentation, object detection and recognition. Image fusion is a new study field which combined with many different disciplines, such as sensors, signal processing, image processing, computer and artificial intelligence. In the past two decades, a large number of research literatures appear. This book is edited based on these research results, and many research scholars give a great help to this book.

Image Fusion and Its Applications Book

Image Fusion and Its Applications


  • Author : Yufeng Zheng
  • Publisher : BoD – Books on Demand
  • Release Date : 2011-06-24
  • Genre: Computers
  • Pages : 256
  • ISBN 10 : 9789533071824

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Image Fusion and Its Applications Excerpt :

The purpose of this book is to provide an overview of basic image fusion techniques and serve as an introduction to image fusion applications in variant fields. It is anticipated that it will be useful for research scientists to capture recent developments and to spark new ideas within the image fusion domain. With an emphasis on both the basic and advanced applications of image fusion, this 12-chapter book covers a number of unique concepts that have been graphically represented throughout to enhance readability, such as the wavelet-based image fusion introduced in chapter 2 and the 3D fusion that is proposed in Chapter 5. The remainder of the book focuses on the area application-orientated image fusions, which cover the areas of medical applications, remote sensing and GIS, material analysis, face detection, and plant water stress analysis.

Remote Sensing Image Fusion Book

Remote Sensing Image Fusion


  • Author : Christine Pohl
  • Publisher : CRC Press
  • Release Date : 2016-10-03
  • Genre: Technology & Engineering
  • Pages : 283
  • ISBN 10 : 9781315353067

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Remote Sensing Image Fusion Excerpt :

Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing image fusion providing an overview on the sensors and applications. It describes data selection, application requirements and the choice of a suitable image fusion technique. It comprises a diverse selection of successful image fusion cases that are relevant to other users and other areas of interest around the world.?The book helps newcomers to obtain a quick start into the practical value and benefits of multi-sensor image fusion. Experts will find this book useful to obtain an overview on the state of the art and understand current constraints that need to be solved in future research efforts. For industry professionals the book can be a great introduction and basis to understand multisensor remote sensing image exploitation and the development of commercialized image fusion software from a practical perspective. The book concludes with a chapter on current trends and future developments in remote sensing image fusion. Along with the book, RSIF website provides additional up-to-date information in the field.

Multi Sensor Image Fusion and Its Applications Book

Multi Sensor Image Fusion and Its Applications


  • Author : Rick S. Blum
  • Publisher : CRC Press
  • Release Date : 2018-10-03
  • Genre: Technology & Engineering
  • Pages : 528
  • ISBN 10 : 9781420026986

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Multi Sensor Image Fusion and Its Applications Excerpt :

Taking another lesson from nature, the latest advances in image processing technology seek to combine image data from several diverse types of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its Applications is the first text dedicated to the theory and practice of the registration and fusion of image data, covering such approaches as statistical methods, color-related techniques, model-based methods, and visual information display strategies. After a review of state-of-the-art image fusion techniques, the book provides an overview of fusion algorithms and fusion performance evaluation. The following chapters explore recent progress and practical applications of the proposed techniques to solving problems in such areas as medical diagnosis, surveillance and biometric systems, remote sensing, nondestructive evaluation, blurred image restoration, and image quality assessment. Recognized leaders from industry and academia contribute the chapters, reflecting the latest research trends and providing useful algorithms to aid implementation. Supplying a 28-page full-color insert, Multi-Sensor Image Fusion and Its Applications clearly demonstrates the benefits and possibilities of this revolutionary development. It provides a solid knowledge base for applying these cutting-edge techniques to new challenges and creating future advances.

Computer Vision and Image Processing Book

Computer Vision and Image Processing


  • Author : Manas Kamal Bhuyan
  • Publisher : CRC Press
  • Release Date : 2019-11-05
  • Genre: Computers
  • Pages : 442
  • ISBN 10 : 9781351248389

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Computer Vision and Image Processing Excerpt :

The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The focus of the book is on image acquisition and image formation models, radiometric models of image formation, image formation in the camera, image processing concepts, concept of feature extraction and feature selection for pattern classification/recognition, and advanced concepts like object classification, object tracking, image-based rendering, and image registration. Intended to be a companion to a typical teaching course on computer vision, the book takes a problem-solving approach.

Artificial Intelligence and Machine Learning in 2D 3D Medical Image Processing Book

Artificial Intelligence and Machine Learning in 2D 3D Medical Image Processing


  • Author : Rohit Raja
  • Publisher : CRC Press
  • Release Date : 2020-12-23
  • Genre: Technology & Engineering
  • Pages : 181
  • ISBN 10 : 9781000337136

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Artificial Intelligence and Machine Learning in 2D 3D Medical Image Processing Excerpt :

Digital images have several benefits, such as faster and inexpensive processing cost, easy storage and communication, immediate quality assessment, multiple copying while preserving quality, swift and economical reproduction, and adaptable manipulation. Digital medical images play a vital role in everyday life. Medical imaging is the process of producing visible images of inner structures of the body for scientific and medical study and treatment as well as a view of the function of interior tissues. This process pursues disorder identification and management. Medical imaging in 2D and 3D includes many techniques and operations such as image gaining, storage, presentation, and communication. The 2D and 3D images can be processed in multiple dimensions. Depending on the requirement of a specific problem, one must identify various features of 2D or 3D images while applying suitable algorithms. These image processing techniques began in the 1960s and were used in such fields as space, clinical purposes, the arts, and television image improvement. In the 1970s, with the development of computer systems, the cost of image processing was reduced and processes became faster. In the 2000s, image processing became quicker, inexpensive, and simpler. In the 2020s, image processing has become a more accurate, more efficient, and self-learning technology. This book highlights the framework of the robust and novel methods for medical image processing techniques in 2D and 3D. The chapters explore existing and emerging image challenges and opportunities in the medical field using various medical image processing techniques. The book discusses real-time applications for artificial intelligence and machine learning in medical image processing. The authors also discuss implementation strategies and future research directions for the design and application requirements of these systems. This book will benefit researchers in the medical image processing field as well as those looking to

Deep Learning for Image Processing Applications Book

Deep Learning for Image Processing Applications


  • Author : D.J. Hemanth
  • Publisher : IOS Press
  • Release Date : 2017-12
  • Genre: Computers
  • Pages : 284
  • ISBN 10 : 9781614998228

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Deep Learning for Image Processing Applications Excerpt :

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.

Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies Book

Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies


  • Author : Sarfraz, Muhammad
  • Publisher : IGI Global
  • Release Date : 2014-04-30
  • Genre: Computers
  • Pages : 312
  • ISBN 10 : 9781466660311

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Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies Excerpt :

The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies features timely and informative research on the design and development of computer vision and image processing applications in intelligent agents as well as in multimedia technologies. Covering a diverse set of research in these areas, this publication is ideally designed for use by academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.

Medical Image Processing  Reconstruction and Analysis Book

Medical Image Processing Reconstruction and Analysis


  • Author : Jiri Jan
  • Publisher : CRC Press
  • Release Date : 2019-09-05
  • Genre: Medical
  • Pages : 574
  • ISBN 10 : 9781351387903

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Medical Image Processing Reconstruction and Analysis Excerpt :

Differently oriented specialists and students involved in image processing and analysis need to have a firm grasp of concepts and methods used in this now widely utilized area. This book aims at being a single-source reference providing such foundations in the form of theoretical yet clear and easy to follow explanations of underlying generic concepts. Medical Image Processing, Reconstruction and Analysis – Concepts and Methods explains the general principles and methods of image processing and analysis, focusing namely on applications used in medical imaging. The content of this book is divided into three parts: Part I – Images as Multidimensional Signals provides the introduction to basic image processing theory, explaining it for both analogue and digital image representations. Part II – Imaging Systems as Data Sources offers a non-traditional view on imaging modalities, explaining their principles influencing properties of the obtained images that are to be subsequently processed by methods described in this book. Newly, principles of novel modalities, as spectral CT, functional MRI, ultrafast planar-wave ultrasonography and optical coherence tomography are included. Part III – Image Processing and Analysis focuses on tomographic image reconstruction, image fusion and methods of image enhancement and restoration; further it explains concepts of low-level image analysis as texture analysis, image segmentation and morphological transforms. A new chapter deals with selected areas of higher-level analysis, as principal and independent component analysis and particularly the novel analytic approach based on deep learning. Briefly, also the medical image-processing environment is treated, including processes for image archiving and communication. Features Presents a theoretically exact yet understandable explanation of image processing and analysis concepts and methods Offers practical interpretations of all theoretical conclusions, as derived in the consisten