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eBay-Artikelnr.:397127402596
Artikelmerkmale
- Artikelzustand
- Pages
- 491
- Publication Date
- 2020-05-29
- Book Title
- Handbook of Image Processing and Computer Vision: Volume 1: From
- Educational Level
- Adult & Further Education
- Features
- 1st Edition
- Level
- Advanced, Technical
- Country/Region of Manufacture
- Switzerland
- ISBN
- 9783030381479
Über dieses Produkt
Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-10
3030381471
ISBN-13
9783030381479
eBay Product ID (ePID)
13038412387
Product Key Features
Number of Pages
Xxii, 491 Pages
Publication Name
Handbook of Image Processing and Computer Vision
Language
English
Subject
Intelligence (Ai) & Semantics, Probability & Statistics / General, Computer Vision & Pattern Recognition
Publication Year
2020
Type
Textbook
Subject Area
Mathematics, Computers
Format
Hardcover
Dimensions
Item Weight
36.2 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Number of Volumes
1 vol.
Illustrated
Yes
Original Language
Italian
Table Of Content
Image Formation Process.- Radiometric Model.- Color.- Optical System.- Digitization and Image Display.- Properties of the Digital Image.- Data Organization.- Representation and Description of Forms.- Image Enhancement Techniques.
Synopsis
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 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 inthe 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., 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 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 inthe 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.
LC Classification Number
TA1634
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