Handbook of Image Processing and Computer Vision

Author:   Arcangelo Distante ,  Cosimo Distante
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
ISBN:  

9783030425074


Pages:   1617
Publication Date:   09 June 2020
Format:   Hardback
Availability:   In Print   Availability explained
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Handbook of Image Processing and Computer Vision


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Overview

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. 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 techniquesfor 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.

Full Product Details

Author:   Arcangelo Distante ,  Cosimo Distante
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
ISBN:  

9783030425074


ISBN 10:   303042507
Pages:   1617
Publication Date:   09 June 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.
Language:   English

Table of Contents

Volume 1: From Energy to Image.- 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.- Volume 2: From Image to Pattern.- Local Operations: Edging.- Fundamental Linear Transforms.- Geometric Transformations.- Reconstruction of the Degraded Image: Restoration.- Image Segmentation.- Detectors and Descriptors of Interest Points. Volume 3: From Pattern to Object.- Object Recognition.- RBF, SOM, Hopfield and Deep Neural Networks.- Texture Analysis.- Paradigms for 3D Vision.- Shape from Shading.- Motion Analysis.- Camera Calibration and 3D Reconstruction.

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Author Information

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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