Machine Vision: Automated Visual Inspection and Robot Vision
by David Vernon
Publisher: Prentice Hall 1991
Number of pages: 260
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:
(multiple PDF files)
by Asim Bhatti - 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.
by Aapo Hyvarinen, Jarmo Hurri, Patrik O. Hoyer - 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.
by R. Jain, R. Kasturi, B. G. Schunck - 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.
by Dilip K. Prasad - 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.