Logo

Machine Vision: Automated Visual Inspection and Robot Vision

Small book cover: Machine Vision: Automated Visual Inspection and Robot Vision

Machine Vision: Automated Visual Inspection and Robot Vision
by

Publisher: Prentice Hall
ISBN/ASIN: 0135433983
ISBN-13: 9780135433980
Number of pages: 260

Description:
Machine vision is a multidisciplinary subject, utilizing techniques drawn from optics, electronics, mechanical engineering, computer science, and artificial intelligence. This book is an introduction to Machine Vision which will allow the reader quickly to comprehend the essentials of this fascinating topic. Emphasis will be placed on the fundamental tools for image acquisition, processing, and analysis; a range of techniques, dealing with very simple two dimensional systems, through more sophisticated two-dimensional approaches, to the three-dimensional robot vision, will be explained in some detail.

Home page url

Download or read it online for free here:
Download link
(multiple PDF files)

Similar books

Book cover: Stereo VisionStereo Vision
by - InTech
The book comprehensively covers almost all aspects of stereo vision. In addition reader can find topics from defining knowledge gaps to the state of the art algorithms as well as current application trends of stereo vision.
(9302 views)
Book cover: Natural Image StatisticsNatural Image Statistics
by - Springer
Introductory textbook and a research monograph on modelling the statistical structure of natural images. The statistical structure of natural images is described using a number of statistical models whose parameters are estimated from image samples.
(6649 views)
Book cover: Machine VisionMachine Vision
by - McGraw-Hill
The book is intended to provide a balanced introduction to machine vision. Basic concepts are introduced with only essential mathematical elements. The details to allow implementation and use of vision algorithm in practical application are provided.
(9500 views)
Book cover: Object Detection in Real ImagesObject Detection in Real Images
by - arXiv
We propose a new object detection/recognition method, which improves over the existing methods in every stage of the object detection/recognition process. In addition to the usual features, we propose to use geometric shapes as additional features.
(3864 views)