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020 _a9783030423742
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024 7 _a10.1007/978-3-030-42374-2
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100 1 _aDistante, Arcangelo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aHandbook of Image Processing and Computer Vision
_h[electronic resource] :
_bVolume 2: From Image to Pattern /
_cby Arcangelo Distante, Cosimo Distante.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXXII, 432 p. 272 illus., 167 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
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347 _atext file
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505 0 _aLocal Operations: Edging -- Fundamental Linear Transforms -- Geometric Transformations -- Reconstruction of the Degraded Image: Restoration -- Image Segmentation -- Detectors and Descriptors of Interest Points.
520 _aAcross 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 2 (From Image to Pattern) examines image transforms, image restoration, and image segmentation. 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 theimage • 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 theInstitute 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.
650 0 _aComputer vision.
650 0 _aMachine learning.
650 0 _aArtificial intelligence
_xData processing.
650 1 4 _aComputer Vision.
650 2 4 _aMachine Learning.
650 2 4 _aData Science.
700 1 _aDistante, Cosimo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030423735
776 0 8 _iPrinted edition:
_z9783030423759
776 0 8 _iPrinted edition:
_z9783030423766
856 4 0 _uhttps://doi.org/10.1007/978-3-030-42374-2
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