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Titlebook: Intelligent Vision Systems for Industry; Bruce G. Batchelor,Paul F. Whelan Book 1997 Springer-Verlag London 1997 Rover.calibration.control

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發(fā)表于 2025-3-21 16:07:37 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Intelligent Vision Systems for Industry
編輯Bruce G. Batchelor,Paul F. Whelan
視頻videohttp://file.papertrans.cn/471/470192/470192.mp4
圖書封面Titlebook: Intelligent Vision Systems for Industry;  Bruce G. Batchelor,Paul F. Whelan Book 1997 Springer-Verlag London 1997 Rover.calibration.control
描述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.
出版日期Book 1997
關鍵詞Rover; calibration; control; controlling; image processing; machine vision; mathematical morphology; progra
版次1
doihttps://doi.org/10.1007/978-1-4471-0431-5
isbn_softcover978-1-4471-1140-5
isbn_ebook978-1-4471-0431-5
copyrightSpringer-Verlag London 1997
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978-1-4471-1140-5Springer-Verlag London 1997
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Controlling External Devices,This chapter is based upon the axiom that every industrial vision system must be capable of communicating with a range of devices that exist in the world outside itself. To be more specific, each machine vision system must be able to perform at least three functions:
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Intelligent Image Processing,n of an object or scene by eye, followed by introspective self-analysis is now totally discredited as a method of choosing image processing algorithms for machine vision systems. Over the last two decades, this has gradually been accepted as one of the central tenets of the machine vision systems development process.
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Book 1997nguages 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.
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n 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.978-1-4471-1140-5978-1-4471-0431-5
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Book 1997on 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 the
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