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Handbook of Image Processing and Computer Vision - Volume 1: From Energy to Image (Hardcover, 1st ed. 2020)
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Handbook of Image Processing and Computer Vision - Volume 1: From Energy to Image (Hardcover, 1st ed. 2020)
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Across three volumes, the Handbook of Image Processing and Computer
Vision presents a comprehensive review of the full range of topics
that comprise the field of computer vision, from the acquisition of
signals and formation of images, to learning techniques for scene
understanding. The authoritative insights presented within cover
all aspects of the sensory subsystem required by an intelligent
system to perceive the environment and act autonomously. Volume 1
(From Energy to Image) examines the formation, properties, and
enhancement of a digital image. Topics and features: * Describes
the fundamental processes in the field of artificial vision that
enable the formation of digital images from light energy * Covers
light propagation, color perception, optical systems, and the
analog-to-digital conversion of the signal * Discusses the
information recorded in a digital image, and the image processing
algorithms that can improve the visual qualities of the image *
Reviews boundary extraction algorithms, key linear and geometric
transformations, and techniques for image restoration * Presents a
selection of different image segmentation algorithms, and of
widely-used algorithms for the automatic detection of points of
interest * Examines important algorithms for object recognition,
texture analysis, 3D reconstruction, motion analysis, and camera
calibration * Provides an introduction to four significant types of
neural network, namely RBF, SOM, Hopfield, and deep neural networks
This all-encompassing survey offers a complete reference for all
students, researchers, and practitioners involved in developing
intelligent machine vision systems. The work is also an invaluable
resource for professionals within the IT/software and electronics
industries involved in machine vision, imaging, and artificial
intelligence. Dr. Cosimo Distante is a Research Scientist in
Computer Vision and Pattern Recognition in the Institute of Applied
Sciences and Intelligent Systems (ISAI) at the Italian National
Research Council (CNR). Dr. Arcangelo Distante is a researcher and
the former Director of the Institute of Intelligent Systems for
Automation (ISSIA) at the CNR. His research interests are in the
fields of Computer Vision, Pattern Recognition, Machine Learning,
and Neural Computation.
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