Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Handbook of Image Processing and Computer Vision : Volume 2: From Image to Pattern, Paperback / softback Book

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

Paperback / softback

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 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 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 networksThis 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.

Information

Other Formats

Save 6%

£199.99

£187.89

 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information