Recent Advances in Artificial Neural Networks and Embedded Systems for Multi-Source Image Fusion
Author: Xin Jin
Publisher: Frontiers Media SA
Published: 2022-09-13
Total Pages: 179
ISBN-13: 2889769453
DOWNLOAD EBOOK →Lanterna Rally
eBook PDF Download Digital Library
Recent Advances in Image Fusion and Quality Improvement for Cyber-Physical Systems
Author: Xin Jin
Publisher: Frontiers Media SA
Published: 2023-06-27
Total Pages: 180
ISBN-13: 2832524591
DOWNLOAD EBOOK →New Advances in Image Fusion
Author: Qiguang Miao
Publisher: BoD – Books on Demand
Published: 2013-11-20
Total Pages: 146
ISBN-13: 9535112066
DOWNLOAD EBOOK →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.
Advances in Signal Processing, Embedded Systems and IoT
Author: V.V.S.S.S. Chakravarthy
Publisher: Springer Nature
Published: 2023-05-23
Total Pages: 692
ISBN-13: 981198865X
DOWNLOAD EBOOK →The book discusses the latest developments and outlines future trends in the fields of microelectronics, electromagnetics and telecommunication. It contains original research works presented at the International Conference on Microelectronics, Electromagnetics and Telecommunication (ICMEET 2022), held in Bheemavaram, West Godavari (Dist), Andhra Pradesh, India during 22 – 23 July 2022. The papers were written by scientists, research scholars and practitioners from leading universities, engineering colleges and R&D institutes from all over the world, and share the latest breakthroughs in and promising solutions to the most important issues facing today’s society.
Applications of Pulse-Coupled Neural Networks
Author: Yide Ma
Publisher: Springer Science & Business Media
Published: 2011-09-02
Total Pages: 206
ISBN-13: 3642137458
DOWNLOAD EBOOK →"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.
Image Fusion and Its Applications
Author: Yufeng Zheng
Publisher: BoD – Books on Demand
Published: 2011-06-24
Total Pages: 256
ISBN-13: 9533071826
DOWNLOAD EBOOK →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.
Image Fusion
Author: Tania Stathaki
Publisher: Elsevier
Published: 2011-08-29
Total Pages: 519
ISBN-13: 0080558526
DOWNLOAD EBOOK →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
Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
Author: John Ball
Publisher: MDPI
Published: 2019-10-01
Total Pages: 342
ISBN-13: 303921375X
DOWNLOAD EBOOK →This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR and camera processing, ethics, and communications. Several new datasets are also provided for future research work. Researchers and others interested in these topics will find important advances contained in this book.
Image Fusion
Author: Gang Xiao
Publisher: Springer Nature
Published: 2020-08-31
Total Pages: 415
ISBN-13: 9811548676
DOWNLOAD EBOOK →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.
Robots, Drones, UAVs and UGVs for Operation and Maintenance
Author: Diego Galar
Publisher: CRC Press
Published: 2020-05-07
Total Pages: 409
ISBN-13: 0429839189
DOWNLOAD EBOOK →Industrial assets (such as railway lines, roads, pipelines) are usually huge, span long distances, and can be divided into clusters or segments that provide different levels of functionality subject to different loads, degradations and environmental conditions, and their efficient management is necessary. The aim of the book is to give comprehensive understanding about the use of autonomous vehicles (context of robotics) for the utilization of inspection and maintenance activities in industrial asset management in different accessibility and hazard levels. The usability of deploying inspection vehicles in an autonomous manner is explained with the emphasis on integrating the total process. Key Features Aims for solutions for maintenance and inspection problems provided by robotics, drones, unmanned air vehicles and unmanned ground vehicles Discusses integration of autonomous vehicles for inspection and maintenance of industrial assets Covers the industrial approach to inspection needs and presents what is needed from the infrastructure end Presents the requirements for robot designers to design an autonomous inspection and maintenance system Includes practical case studies from industries
