Image Recognition
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| Author | : Munish Kumar |
| Publisher | : MDPI |
| Total Pages | : 112 |
| Release | : 2021-09-08 |
| Genre | : Technology & Engineering |
| ISBN | : 3036517146 |
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.
| Author | : S. Kevin Zhou |
| Publisher | : Academic Press |
| Total Pages | : 548 |
| Release | : 2015-12-11 |
| Genre | : Computers |
| ISBN | : 0128026766 |
This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image. Written by top experts in Medical Imaging, this book is ideal for university researchers and industry practitioners in medical imaging who want a complete reference on key methods, algorithms and applications in medical image recognition, segmentation and parsing of multiple objects. Learn: - Research challenges and problems in medical image recognition, segmentation and parsing of multiple objects - Methods and theories for medical image recognition, segmentation and parsing of multiple objects - Efficient and effective machine learning solutions based on big datasets - Selected applications of medical image parsing using proven algorithms - Provides a comprehensive overview of state-of-the-art research on medical image recognition, segmentation, and parsing of multiple objects - Presents efficient and effective approaches based on machine learning paradigms to leverage the anatomical context in the medical images, best exemplified by large datasets - Includes algorithms for recognizing and parsing of known anatomies for practical applications
| Author | : Charles Z. Liu |
| Publisher | : Nova Science Publishers |
| Total Pages | : 370 |
| Release | : 2020-04 |
| Genre | : Computers |
| ISBN | : 9781536172591 |
This book focuses on research trends in image processing and recognition and corresponding developments. Among them, the book focuses on recent research, especially in the field of advanced human-computer interaction and intelligent computing. Given the existing interaction and recognition of the station, some novel topics are proposed, including how to establish a cognitive model in human-computer interaction and how to express and transfer human knowledge into human-machine image recognition. In an interactive implementation, how to implement user experience through image recognition during machine interaction.The main contents of this book are arranged as follows. Chapter 1 introduces the research background, research questions, goals, research questions and overviews of this book. Chapter 2 focuses on image calculation methods based on principal component analysis (PCA) and related extensions. Chapter 3 presents an image processing scheme that takes into account the user experience and the optimal balance between QoE and QoS management. Chapter 4 focuses on the performance analysis of methods for classifying image textures based on local binary patterns. Chapter 5 introduces the generation of the anti-network (GAN) and its methods. Chapter 6 mainly discusses the recognition of the interest target as the visual consciousness of the image computing system and proposes a fuzzy target-based interest target differentiation system, which is applied to the extinction enhancement as a display.Chapter 7 focuses on the implementation and application of PCA image processing and its application in computer vision in the fields of image compression, visual tracking, image recognition, and super-resolution image reconstruction. Chapter 8 introduces various applications of feature extraction and classification techniques in seizures. Chapter 9 introduces some typical image processing based on GAN, involving multiple fields. Chapter 10 introduces an agent-based collaborative information processing framework with stereo vision applications. Chapter 11 introduces the MR application system as a synthesis of the methods and algorithms in each of the above chapters and discusses system design and implementation in terms of functions, modules, and workflows. Chapter 12 evaluates the book, draws conclusions, and proposes advances in image recognition and its advances in image recognition, limitations, and future work, and applies them to intelligent HCI in system design. Objects, human knowledge and user experience, QoE-QoS management, system management, and confidentiality and security.
| Author | : Venkata Sathya Kumar koppisetti |
| Publisher | : RK Publication |
| Total Pages | : 314 |
| Release | : 2024-07-25 |
| Genre | : Computers |
| ISBN | : 819778115X |
Computer Vision and Image Recognition transformative technology enabling machines to interpret and understand visual information. This book explores the foundational theories and techniques in computer vision, covering critical topics such as image processing, feature extraction, object detection, and classification. With applications spanning from autonomous vehicles to medical imaging, it provides a comprehensive overview of algorithms and deep learning methods that power visual perception in machines. Aimed at students, researchers, and practitioners, this guide bridges theoretical concepts with real-world applications, emphasizing advancements in AI-driven image recognition and the future of intelligent visual systems.
| Author | : Prof. Munindra Lunagaria |
| Publisher | : Xoffencerpublication |
| Total Pages | : 220 |
| Release | : 2023-07-04 |
| Genre | : Computers |
| ISBN | : 8196401817 |
Computer vision is what we call the practice of using computer-based imaging where there is no human interaction in the visual loop at any point in the process. The photos are analyzed by a computer, which then takes appropriate action depending on their results. Computer vision systems are used in a variety of medical disciplines, and the only thing that can be said with absolute confidence is that the scope of these systems' applications will continue to expand in the future is the only thing that can be declared with absolute certainty. processing one or more digital photographs in order to generate valuable inferences about real-world physical objects and situations by computing the features of the 3D environment. This processing may be done with either one picture or all of them together. generating an accurate and comprehensive description of a real world object based on a photograph of that thing. The discipline of computer vision came into being as a consequence of efforts to model image processing utilizing the several approaches that are accessible within the discipline of machine learning. The field of computer vision makes use of machine learning to search for patterns in images with the end goal of deciphering such patterns. The field of computer vision entails the practice of teaching computers to recognize objects based on the digital still photos or moving movies that are sent into them. Finding methods through which jobs can be automated that now rely on the human visual system is the objective here. Image processing is one of the various methods that are utilized in the execution of this approach. The subfield of artificial intelligence (AI) known as computer vision is an absolutely necessary component in order for computers and other types of systems to be able to respond or provide suggestions based on visual data such as digital photos, movies, and other types of inputs. The same way that artificial intelligence makes it possible for computers to think, computer vision makes it possible for computers to see, comprehend, and observe. Computer vision and human vision are functionally comparable; the primary difference is that human eyesight developed far earlier than computer vision. The capacity of human beings to learn to differentiate between different things, their distances from one another, whether or not the items are moving
| Author | : Ernest Hall |
| Publisher | : Elsevier |
| Total Pages | : 613 |
| Release | : 1979-01-01 |
| Genre | : Technology & Engineering |
| ISBN | : 0323144802 |
Computer Image Processing and Recognition
| Author | : Cornelius T. Leondes |
| Publisher | : Elsevier |
| Total Pages | : 407 |
| Release | : 1998-02-09 |
| Genre | : Technology & Engineering |
| ISBN | : 0080551440 |
Image Processing and Pattern Recognition covers major applications in the field, including optical character recognition, speech classification, medical imaging, paper currency recognition, classification reliability techniques, and sensor technology. The text emphasizes algorithms and architectures for achieving practical and effective systems, and presents many examples. Practitioners, researchers, and students in computer science, electrical engineering, andradiology, as well as those working at financial institutions, will value this unique and authoritative reference to diverse applications methodologies.Coverage includes: - Optical character recognition - Speech classification - Medical imaging - Paper currency recognition - Classification reliability techniques - Sensor technology Algorithms and architectures for achieving practical and effective systems are emphasized, with many examples illustrating the text. Practitioners, researchers, and students in computer science, electrical engineering, and radiology, as wellk as those working at financial institutions, will find this volume a unique and comprehensive reference source for this diverse applications area.
| Author | : Boguslaw Cyganek |
| Publisher | : John Wiley & Sons |
| Total Pages | : 518 |
| Release | : 2013-05-20 |
| Genre | : Science |
| ISBN | : 111861836X |
Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in computer vision and related fields. Key features: Explains the main theoretical ideas behind each method (which are augmented with a rigorous mathematical derivation of the formulas), their implementation (in C++) and demonstrated working in real applications. Places an emphasis on tensor and statistical based approaches within object detection and recognition. Provides an overview of image clustering and classification methods which includes subspace and kernel based processing, mean shift and Kalman filter, neural networks, and k-means methods. Contains numerous case study examples of mainly automotive applications. Includes a companion website hosting full C++ implementation, of topics presented in the book as a software library, and an accompanying manual to the software platform.
| Author | : Lila Lee-Morrison |
| Publisher | : transcript Verlag |
| Total Pages | : 199 |
| Release | : 2019-11-30 |
| Genre | : Social Science |
| ISBN | : 3839448468 |
Automated facial recognition algorithms are increasingly intervening in society. This book offers a unique analysis of these algorithms from a critical visual culture studies perspective. The first part of this study examines the example of an early facial recognition algorithm called »eigenface« and traces a history of the merging of statistics and vision. The second part addresses contemporary artistic engagements with facial recognition technology in the work of Thomas Ruff, Zach Blas, and Trevor Paglen. This book argues that we must take a closer look at the technology of automated facial recognition and claims that its forms of representation are embedded with visual politics. Even more significantly, this technology is redefining what it means to see and be seen in the contemporary world.
| Author | : Frank Y. Shih |
| Publisher | : John Wiley & Sons |
| Total Pages | : 564 |
| Release | : 2010-05-03 |
| Genre | : Technology & Engineering |
| ISBN | : 0470404612 |
A comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of image processing and pattern recognition are growing at an unprecedented rate. Containing the latest state-of-the-art developments in the field, Image Processing and Pattern Recognition presents clear explanations of the fundamentals as well as the most recent applications. It explains the essential principles so readers will not only be able to easily implement the algorithms and techniques, but also lead themselves to discover new problems and applications. Unlike other books on the subject, this volume presents numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. Scores of graphs and examples, technical assistance, and practical tools illustrate the basic principles and help simplify the problems, allowing students as well as professionals to easily grasp even complicated theories. It also features unique coverage of the most interesting developments and updated techniques, such as image watermarking, digital steganography, document processing and classification, solar image processing and event classification, 3-D Euclidean distance transformation, shortest path planning, soft morphology, recursive morphology, regulated morphology, and sweep morphology. Additional topics include enhancement and segmentation techniques, active learning, feature extraction, neural networks, and fuzzy logic. Featuring supplemental materials for instructors and students, Image Processing and Pattern Recognition is designed for undergraduate seniors and graduate students, engineering and scientific researchers, and professionals who work in signal processing, image processing, pattern recognition, information security, document processing, multimedia systems, and solar physics.
