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In recent years, there have been significant progress in
computational intelligence and image processing with machine
learning and deep learning as important components of modern
artificial intelligence. All these progresses face challenges in
dealing with Covid-19 pandemic for detection and treatment.This
comprehensive compendium provides not only updated advances of
computational intelligence and image processing in the detection
and treatment of Covid-19, but also other medical applications such
as in cancer detection and cardiovascular diseases, etc. More
traditional approaches such as 2D segmentation and 3D
reconstruction are included.The useful reference text is an updated
version of the edited title, Computer Vision in Medical Imaging
(World Scientific, 2014) and its companion volume, Frontiers of
Medical Imaging (World Scientific, 2015). The book is written for
engineers, scientists and the medical community to meet the
increased challenges in medical applications.
Written by world-renowned authors, this unique compendium presents
the most updated progress in pattern recognition and computer
vision (PRCV), fully reflecting the strong international research
interests in the artificial intelligence arena.Machine learning has
been the key to current developments in PRCV. This useful
comprehensive volume complements the previous five editions of the
book. It places great emphasis on the use of deep learning in many
aspects of PRCV applications, not readily available in other
reference text.
Pattern recognition, image processing and computer vision are
closely linked areas which have seen enormous progress in the last
fifty years. Their applications in our daily life, commerce and
industry are growing even more rapidly than theoretical advances.
Hence, the need for a new handbook in pattern recognition and
computer vision every five or six years as envisioned in 1990 is
fully justified and valid.The book consists of three parts: (1)
Pattern recognition methods and applications; (2) Computer vision
and image processing; and (3) Systems, architecture and technology.
This book is intended to capture the major developments in pattern
recognition and computer vision though it is impossible to cover
all topics.The chapters are written by experts from many countries,
fully reflecting the strong international research interests in the
areas. This fifth edition will complement the previous four
editions of the book.
There has been great progress and increase in demand for medical
imaging. The aim of this book is to capture all major developments
in all aspects of medical imaging. As such, this book consists of
three major parts: medical physics which includes 3D
reconstructions, image processing and segmentation in medical
imaging, and medical imaging instruments and systems. As the field
is very broad and growing exponentially, this book will cover major
activities with chapters prepared by leaders in the field.This book
takes a balanced approach in providing coverage of all major work
done in the field, and thus provides readers a clear view of the
frontier activities in the field. Other books may only focus on
instrumentation, physics or computer algorithms. In contrast, this
book contains all components so that the readers will obtain a full
picture of the field. At the same time, readers can gain some deep
insights into certain special topics such as 3D reconstruction and
image enhancement software systems involving MRI, ultrasound, X-ray
and other medical imaging modalities.
This book gives a comprehensive overview of the most advanced
theories, methodologies and applications in computer vision.
Particularly, it gives an extensive coverage of 3D and robotic
vision problems. Example chapters featured are Fourier methods for
3D surface modeling and analysis, use of constraints for
calibration-free 3D Euclidean reconstruction, novel photogeometric
methods for capturing static and dynamic objects, performance
evaluation of robot localization methods in outdoor terrains,
integrating 3D vision with force/tactile sensors, tracking via
in-floor sensing, self-calibration of camera networks, etc. Some
unique applications of computer vision in marine fishery,
biomedical issues, driver assistance, are also highlighted.
Both pattern recognition and computer vision have experienced rapid
progress in the last twenty-five years. This book provides the
latest advances on pattern recognition and computer vision along
with their many applications. It features articles written by
renowned leaders in the field while topics are presented in
readable form to a wide range of readers. The book is divided into
five parts: basic methods in pattern recognition, basic methods in
computer vision and image processing, recognition applications,
life science and human identification, and systems and technology.
There are eight new chapters on the latest developments in life
sciences using pattern recognition as well as two new chapters on
pattern recognition in remote sensing.
The major progress in computer vision allows us to make extensive
use of medical imaging data to provide us better diagnosis,
treatment and predication of diseases. Computer vision can exploit
texture, shape, contour and prior knowledge along with contextual
information from image sequence and provide 3D and 4D information
that helps with better human understanding. Many powerful tools
have been available through image segmentation, machine learning,
pattern classification, tracking, reconstruction to bring much
needed quantitative information not easily available by trained
human specialists. The aim of the book is for both medical imaging
professionals to acquire and interpret the data, and computer
vision professionals to provide enhanced medical information by
using computer vision techniques. The final objective is to benefit
the patients without adding to the already high medical costs.
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