Handbook of Image Processing and Computer Vision

1. Auflage 2021
ISBN: 978-3-030-42507-4
Verlag: Springer

Buch, Englisch, 1617 Seiten, Format (B × H): 155 mm x 235 mm

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.

Zielgruppe

Research

Autoren/Hrsg.

Distante, Arcangelo

Distante, Cosimo

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen

Inhaltsverzeichnis

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.

Über Autor(innen)

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.