Computer and Machine Vision: Theory, Algorithms, Practicalities

Davies, E. R.

ISBN 10: 0123869080 / ISBN 13: 9780123869081

Published by Academic Pr, 2012

About this Item

4th edition. 984 pages. 9.50x7.50x1.70 inches. In Stock. Seller Inventory # __0123869080

Bibliographic Details

Title: Computer and Machine Vision: Theory, ...

Publisher: Academic Pr

Publication Date: 2012

Binding: Hardcover

Condition: Brand New

Edition: 4th Edition

About this title

Synopsis:

Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R&D engineers working in this vibrant subject.

Key features include:

• Practical examples and case studies give the ‘ins and outs’ of developing real-world vision systems, giving engineers the realities of implementing the principles in practice
• New chapters containing case studies on surveillance and driver assistance systems give practical methods on these cutting-edge applications in computer vision
• Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples
• Updated content and new sections cover topics such as human iris location, image stitching, line detection using RANSAC, performance measures, and hyperspectral imaging
• The ‘recent developments’ section now included in each chapter will be useful in bringing students and practitioners up to date with the subject

• Mathematics and essential theory are made approachable by careful explanations and well-illustrated examples
• Updated content and new sections cover topics such as human iris location, image stitching, line detection using RANSAC, performance measures, and hyperspectral imaging
• The ‘recent developments’ section now included in each chapter will be useful in bringing students and practitioners up to date with the subject

Review:

Learn not just the principles of machine and computer vision but the ‘ins and outs’ of developing real-world applications!