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Handbook of Image Processing and Computer Vision = Volume 2: From Image to Pattern /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Handbook of Image Processing and Computer Vision/ by Arcangelo Distante, Cosimo Distante.
Reminder of title:	Volume 2: From Image to Pattern /
Author:	Distante, Arcangelo.
other author:	Distante, Cosimo.
Description:	XXII, 432 p. 272 illus., 167 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Optical data processing. -
Online resource:	https://doi.org/10.1007/978-3-030-42374-2
ISBN:	9783030423742

Handbook of Image Processing and Computer Vision = Volume 2: From Image to Pattern /
Distante, Arcangelo.

Handbook of Image Processing and Computer VisionVolume 2: From Image to Pattern /[electronic resource] :by Arcangelo Distante, Cosimo Distante. - 1st ed. 2020. - XXII, 432 p. 272 illus., 167 illus. in color.online resource.

Local Operations: Edging -- Fundamental Linear Transforms -- Geometric Transformations -- Reconstruction of the Degraded Image: Restoration -- Image Segmentation -- Detectors and Descriptors of Interest Points.

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 2 (From Image to Pattern) examines image transforms, image restoration, and image segmentation. 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. 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.

ISBN: 9783030423742

Standard No.: 10.1007/978-3-030-42374-2doiSubjects--Topical Terms:

639187
Optical data processing.

LC Class. No.: TA1630-1650

Dewey Class. No.: 006.6

Handbook of Image Processing and Computer Vision = Volume 2: From Image to Pattern /
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