Books in Computer vision and pattern recognition

Feature Extraction and Image Processing for Computer Vision

5th Edition
August 1, 2025
Mark Nixon + 1 more
English
Paperback
9 7 8 0 4 4 3 3 6 6 8 6 4
eBook
9 7 8 0 4 4 3 3 6 6 8 7 1

Feature Extraction and Image Processing for Computer Vision, Fifth Edition is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated, providing a link between theory and implementation. Essential background theory is carefully explained. This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation.

Quaternion-Based Sparse Image Processing

1st Edition
July 9, 2025
Satya Prakash Yadav + 4 more
English
Paperback
9 7 8 0 4 4 3 2 9 2 4 4 6
eBook
9 7 8 0 4 4 3 2 9 2 4 5 3

Quaternion-Sparse Image Processing: Advances in Multispectral Processing brings together the technologies, research, and managerial applications of quaternion-sparse based complex algebra in image processing. The book covers the entire range of complicated tasks performed on color images, including denoising, reconstruction, classification, hallucination, feature extraction, dimension reduction, and regularization. It provides easy understanding and smooth adaptability of basic and advanced concepts for graduate students, researchers, doctors, academics, and practitioners.

Deep Learning in Action: Image and Video Processing for Practical Use

1st Edition
March 12, 2025
Abdussalam Elhanashi + 1 more
English
Paperback
9 7 8 0 4 4 3 3 0 0 7 8 3
eBook
9 7 8 0 4 4 3 3 0 0 7 9 0

Artificial intelligence technology has entered an extraordinary phase of fast development and wide application. The techniques developed in traditional AI research areas, such as computer vision and object recognition, have found many innovative applications in an array of real-world settings. The general methodological contributions from AI, such as a variety of recently developed deep learning algorithms, have also been applied to a wide spectrum of fields such as surveillance applications, real-time processing, IoT devices, and health care systems. The state-of-the-art and deep learning models have wider applicability and are highly efficient. Deep Learning in Action: Image and Video Processing for Practical Use provides a comprehensive and accessible resource for both intermediate to advanced readers seeking to harness the power of deep learning in the domains of video and image processing. The book bridges the gap between theoretical concepts and practical implementation by emphasizing lightweight approaches, enabling readers to efficiently apply deep learning techniques to real-world scenarios. It focuses on resource-efficient methods, making it particularly relevant in contexts where computational constraints are a concern.

Digital Twin, Blockchain, and Sensor Networks in the Healthy and Mobile City

1st Edition
February 28, 2025
Tuan Anh Nguyen
English
Paperback
9 7 8 0 4 4 3 3 4 1 7 4 8
eBook
9 7 8 0 4 4 3 3 4 1 7 5 5

In smart cities, information and communication technologies are integrated to exchange real-time data between citizens, governments, and organizations. Blockchain provides security for communication and transactions between multiple stakeholders. Digital twin refers to a simulation of physical products in a virtual space. This simulation fully utilizes the physical models, wireless sensor networks, and historical data of city operation to integrate big information (digital twin cities) under multidiscipline, multiphysical quantities, multiscale, and multiprobability.Digital Twin, Blockchain, and Sensor Networks in the Healthy and Mobile City explores how digital twins and blockchain can be used in smart cities. Part 1 deals with their promising applications for healthy cities. Part 2 covers other promising applications and current perspectives of blockchain and digital twins for future smart society and smart city mobility. Together with its companion volume, Digital Twin and Blockchain for Sensor Networks in Smart Cities, this book helps to understand the vast amount of data around the city to encourage happy, healthy, safe, and productive lives.

Digital Twin and Blockchain for Sensor Networks in Smart Cities

1st Edition
February 25, 2025
Tuan Anh Nguyen
English
Paperback
9 7 8 0 4 4 3 3 0 0 7 6 9
eBook
9 7 8 0 4 4 3 3 0 0 7 7 6

Digital twin, blackchain, and wireless sensor networks can work together to improve services in the smart city. Big data derived from wireless sensor networks can be integrated to accommodate the exchange of real-time data between citizens, governments, and organizations. Blockchain can provide high security for large-scale communications and transactions between many stakeholders. Digital twin uses physical models and historical data to integrate big information under multidiscipline, multiphysical quantities, multiscale, and multiprobability conditions.Digital Twin and Blockchain for Sensor Networks in Smart Cities explores how digital twin and blockchain can be optimized to improve services. This book is divided into three parts. Part 1 focuses on the fundamental concepts of blockchain and digital twin for sensor networks in the smart cities, while Part 2 describes their applications for managing the regular operations and services. Part 3 deals with their applications for safe cities.

Blockchain and Digital Twin for Smart Healthcare

1st Edition
February 12, 2025
Tuan Anh Nguyen
English
Paperback
9 7 8 0 4 4 3 3 0 3 0 0 5
eBook
9 7 8 0 4 4 3 3 0 3 0 1 2

The smart hospital framework involves three main layers: data, insight and access. Medical data is collected real-time from devices and systems in a smart hospitals: the internet of medical things. This data is integrated to provide insight from the analytics or machine learning software using digital twins. Security and transparency are brought through a combination of digital twin and blockchain technologies. Blockchain and Digital Twins for Smart Healthcare describes the role of blockchain and digital twins in smart healthcare. It describes the ecosystem of the Internet of Medical Things, how data can be gathered using a sensor network, which is securely stored, updated and managed with blockchain for efficient and private medical data exchange. The end goal is insight that provides faster, smarter decisions with more efficiency to improve care for the patient.

Blockchain and Digital Twin for Smart Hospitals

1st Edition
February 1, 2025
Tuan Anh Nguyen
English
Paperback
9 7 8 0 4 4 3 3 4 2 2 6 4
eBook
9 7 8 0 4 4 3 3 4 2 2 7 1

Blockchain and Digital Twins for Smart Healthcare describes the role of blockchain and digital twins in smart healthcare, covering the ecosystem of the Internet of Medical Things, how data can be gathered using a sensor network, which is securely stored, updated, and managed with blockchain for efficient and private medical data exchange. Medical data is collected real-time from devices and systems in smart hospitals: the internet of medical things. This data is integrated to provide insight from the analytics or machine learning software using digital twins. Security and transparency are brought through a combination of digital twin and blockchain technologies.

Advanced Sensors for Smart Healthcare

1st Edition
January 27, 2025
Tuan Anh Nguyen
English
Paperback
9 7 8 0 4 4 3 2 4 7 9 0 3
eBook
9 7 8 0 4 4 3 2 4 7 9 1 0

Advanced Sensors for Smart Healthcare provides an invaluable resource for researchers and healthcare practitioners who are eager to use technology to improve the lives of patients. Sections highlight data from sensor networks via the smart hospital framework, including data, insights, and access. This book shows how the use of sensors to gather data on a patient's condition and the environment their care takes place in can allow healthcare professionals to monitor well-being and make informed decisions about treatment.

Sensor Networks for Smart Hospitals

1st Edition
January 17, 2025
Tuan Anh Nguyen
English
Paperback
9 7 8 0 4 4 3 3 6 3 7 0 2
eBook
9 7 8 0 4 4 3 3 6 3 7 1 9

Sensor Networks for Smart Hospitals shows how the use of sensors to gather data on a patient's condition and the environment in which their care takes place can allow healthcare professionals to monitor well-being and make informed decisions about treatment. Written by experts in the field, this book is an invaluable resource for researchers and healthcare practitioners in their drive to use technology to improve the lives of patients. Data from sensor networks via the smart hospital framework is comprised of three main layers: data, insights, and access.Medical data is collected in real-time from an array of intelligent devices/systems deployed within the hospital. This data offers insight from the analytics or machine learning software that is accessible to healthcare staff via a smartphone or mobile device to facilitate swifter decisions and greater efficiency.

Computational Knowledge Vision

1st Edition
August 19, 2024
Wenbo Zheng + 1 more
English
Paperback
9 7 8 0 4 4 3 2 1 6 1 9 0
eBook
9 7 8 0 4 4 3 2 1 6 1 8 3

Computational Knowledge Vision: The First Footprints presents a novel, advanced framework which combines structuralized knowledge and visual models. In advanced image and visual perception studies, a visual model's understanding and reasoning ability often determines whether it works well in complex scenarios. This book presents state-of-the-art mainstream vision models for visual perception. As computer vision is one of the key gateways to artificial intelligence and a significant component of modern intelligent systems, this book delves into computer vision systems that are highly specialized and very limited in their ability to do visual reasoning and causal inference.Questions naturally arise in this arena, including (1) How can human knowledge be incorporated with visual models? (2) How does human knowledge promote the performance of visual models? To address these problems, this book proposes a new framework for computer vision–computational knowledge vision.

Related subjects

Document and text processing

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health