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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.
The fields of image analysis, computer vision, and artificial
intelligence all make use of descriptions of shape in grey-level
images. Most existing algorithms for the automatic recognition and
classification of particular shapes have been devel oped for
specific purposes, with the result that these methods are often
restricted in their application. The use of advanced and
theoretically well-founded math ematical methods should lead to the
construction of robust shape descriptors having more general
application. Shape description can be regarded as a meeting point
of vision research, mathematics, computing science, and the
application fields of image analy sis, computer vision, and
artificial intelligence. The NATO Advanced Research Workshop "Shape
in Picture" was organised with a twofold objective: first, it
should provide all participants with an overview of relevant
developments in these different disciplines; second, it should
stimulate researchers to exchange original results and ideas across
the boundaries of these disciplines. This book comprises a widely
drawn selection of papers presented at the workshop, and many
contributions have been revised to reflect further progress in the
field. The focus of this collection is on mathematical approaches
to the construction of shape descriptions from grey-level images.
The book is divided into five parts, each devoted to a different
discipline. Each part contains papers that have tutorial sections;
these are intended to assist the reader in becoming acquainted with
the variety of approaches to the problem."
The fields of image analysis, computer vision, and artificial
intelligence all make use of descriptions of shape in grey-level
images. Most existing algorithms for the automatic recognition and
classification of particular shapes have been devel oped for
specific purposes, with the result that these methods are often
restricted in their application. The use of advanced and
theoretically well-founded math ematical methods should lead to the
construction of robust shape descriptors having more general
application. Shape description can be regarded as a meeting point
of vision research, mathematics, computing science, and the
application fields of image analy sis, computer vision, and
artificial intelligence. The NATO Advanced Research Workshop "Shape
in Picture" was organised with a twofold objective: first, it
should provide all participants with an overview of relevant
developments in these different disciplines; second, it should
stimulate researchers to exchange original results and ideas across
the boundaries of these disciplines. This book comprises a widely
drawn selection of papers presented at the workshop, and many
contributions have been revised to reflect further progress in the
field. The focus of this collection is on mathematical approaches
to the construction of shape descriptions from grey-level images.
The book is divided into five parts, each devoted to a different
discipline. Each part contains papers that have tutorial sections;
these are intended to assist the reader in becoming acquainted with
the variety of approaches to the problem."
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