Bruce G. Batchelor, Paul F. Whelan
List Price: $152.00
By: Springer-Verlag Telos
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Subjects -> Computers & Internet -> Computer Science -> Artificial Intelligence -> Applications
Subjects -> Computers & Internet -> Computer Science -> Artificial Intelligence -> Computer Mathematics
Subjects -> Computers & Internet -> Computer Science -> Artificial Intelligence -> Computer Vision
Customer Reviews:
Total reviews: 2
Average rating: 4.0 of 5
A book to take to the factory floor with you 4 out of 5 stars.
0 of 0 people found this review helpful.
A really "hands on" book. Covers such diverse issues as algorithms, handling hardware, lighting, interfaces, etc.WHAT I LIKED THE MOST ABOUT THE BOOK:
- Includes practical tips and checklists.
- Lots of code lists, blueprints and the like.
- Practical and implementation concerns from start to end.
- Nice motivating introduction.
WHAT I DONT LIKE ABOUT THE BOOK:
- Includes a couple naive theoretical issues (useless)
- It's too much specific to Prolog+ programming language, though this is a high-level, easy to grasp language.
OVERALL: A VERY GOOD book for those who are familiar with Computer Vision (academic) and are trying to understand the problems of Machine Vision (engineering), written by someone who obviously understands both worlds deeply.
Editorial Review:
The application of intelligent imaging techniques to industrial vision problems is an evolving aspect of current machine vision research. Machine vision is a relatively new technology, more concerned with systems engineering than with computer science, and with much to offer the manufacturing industry in terms of improving efficiency, safety and product quality. Beginning with an introductory chapter on the basic concepts, the authors develop these ideas to describe intelligent imaging techniques for use in a new generation of industrial imaging systems. Sections cover the application of AI languages such as Prolog, the use of multi-media interfaces and multi-processor systems, external device control, and colour recognition. The text concludes with a discussion of several case studies that illustrate how intelligent machine vision techniques can be used in industrial applications.
