Handbook of Image Processing and Computer Vision

Arcangelo Distante|Cosimo Distante

ISBN 10: 3030381471 / ISBN 13: 9783030381479

Editore: Springer International Publishing, 2020

Riguardo questo articolo

Presents truly comprehensive coverage of all aspects of computer vision and image processingDescribes the fundamental processes underlying the acquisition of sensor data for the formation of a digital imageReviews the analysis and interpretation o.

Codice articolo 458543815

Dati bibliografici

• Titolo: Handbook of Image Processing and Computer Vision
• Editore: Springer International Publishing
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030381471
• ISBN 13: 9783030381479
• Rilegatura: Gebunden
• Condizione: New
• Cataloghi dei venditori:
  • Mathematik/Naturwissenschaften/Technik/Medizin

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

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.