finelybook
Handbook of Image Processing and Computer Vision: Volume 1: From Energy to Image
by 作者: Arcangelo Distante and Cosimo Distante
Pages: 491 pages
Publisher Finelybook 出版社: ; 1st ed. 2020 edition (29 May 2020)
Language 语言: English
ISBN-10 书号: 3030381471
ISBN-13 书号: 9783030381479
Book Description
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 作者: 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 the image
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.
