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140122 ||| eng |
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|a 9781447103936
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| 100 |
1 |
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|a Batchelor, Bruce G.
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| 245 |
0 |
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|a Interactive Image Processing for Machine Vision
|h Elektronische Ressource
|c by Bruce G. Batchelor, Frederick Waltz
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| 250 |
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|a 1st ed. 1993
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| 260 |
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|a London
|b Springer London
|c 1993, 1993
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| 300 |
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|a XVII, 385 p
|b online resource
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| 505 |
0 |
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|a 5.17 Existential Inspection of Internal Threads -- 5.18 Processing Laser Scanner Data of Metal Surfaces -- 5.19 Checking LCD Displays -- 5.20 Aligning Teeth on a Gear -- 5.21 Determining Hardness of aMetal Surface -- 5.22 Counting Diskettes in a Cardboard Box -- 5.23 Deciding on the Toss of a Coin -- 5.24 Counting the Teeth on a Rubber Belt -- 5.25 Calibrating a Spirit Level -- 6 Integrating IIPLwith Prolog -- 6.1 Introduction -- 6.2 Earlier Attempts to Combine Prolog and Image Processing -- 6.3 Specification of Prolog+ -- 6.4 Some Applications -- 6.5 Implementation of Prolog+ -- 6.6 Discussion -- 7 In Conclusion -- 7.1 A Seeing Is Worth 10,000 Tellings -- 7.2 Alternative Modes of Interactive Image Processing -- 7.2 Future Prospects -- References -- Table of IIPL Basic Commands
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| 505 |
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|a 1 Setting the Scene -- 1.1 Human and Animal Vision -- 1.2 Machine Vision -- 1.3 Applications of Image Processing -- 1.4 Problems of System Design -- 1.5 Interactive Image Processing (IIP) -- 1.6 Practical Uses of Interactive Image Processing -- 1.7 Purpose and Outline of This Book -- 2 Principles of Digital Image Processing -- 2.1 Digital Representations of Images -- 2.2 Processing Functions -- 2.3 Binary Images -- 2.4. Commentary -- 3 Syntax of IIPL -- 3.1 Introduction -- 3.2 Basic Commands -- 3.3 Command Sequences -- 3.4 Registers -- 3.5 Looping, Jumps, and Conditional Jumps -- 3.6 Macros -- 3.7 Histogram Buffer -- 3.8 Character Strings -- 3.9 Miscellaneous Control Features -- 3.10 Calling User-Defined Functions -- 3.11 Discussion and Summary -- 3.12 Addendum -- 3.13 Prolog+, Merging Prolog with IIPL -- 4 Practical Considerations -- 4.1 Workstation Layout -- 4.2 Extending the Scope of IIPL -- 4.3 Adding a Processor to Control the IIP -- 4.4 Using a Journal to Generate Macros --
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| 505 |
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|a 4.5 Can We Use AI Techniques to Guide the IIPL User? -- 4.6 Generating Software for Target Systems -- 4.7 Hardware-Based Versions of IIPL -- 4.8 Menu Selection of Commands -- 4.9 Using a Mouse in IIPL -- 4.10 Pseudo-Color -- 4.11 Conclusions -- 5 Applications Case Studies -- 5.1 Crack Detection in Metal Components -- 5.2 Robotic Manipulation of Objects -- 5.3 Form Measurement of Glassware (Bottle) -- 5.4 Examination of Aerosol Sprays -- 5.5 Examination of Paint Work -- 5.6 Inspecting Factory-Made Cakes -- 5.7 Inspection of the Cap of an Electric Light Bulb -- 5.8 Measurement of Coiling of a Helical Lamp Filament -- 5.9 Detecting Glass Flakes -- 5.10 Locating the Ends of Floppy Serpentine Objects -- 5.11 Verifying the Existence of a Chamfer -- 5.12 Inspecting Non-Populated Printed Circuit Boards -- 5.13 Checking the Roundness of Fruit -- 5.14 Reading Punched Lettering on a Metal Surface -- 5.15 Identifying a Playing Card -- 5.16 Determining the Orientation and Pitch of a Grid --
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| 653 |
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|a Mechatronics
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| 653 |
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|a Signal, Image and Speech Processing
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| 653 |
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|a Image Processing and Computer Vision
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| 653 |
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|a Engineering Economics, Organization, Logistics, Marketing
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| 653 |
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|a Engineering economics
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| 653 |
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|a Image processing
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| 653 |
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|a Manufactures
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| 653 |
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|a Control, Robotics, Mechatronics
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| 653 |
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|a Computer-aided engineering
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| 653 |
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|a Speech processing systems
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| 653 |
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|a Computer-Aided Engineering (CAD, CAE) and Design
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| 653 |
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|a Control engineering
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| 653 |
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|a Manufacturing, Machines, Tools, Processes
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| 653 |
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|a Robotics
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| 653 |
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|a Engineering economy
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| 653 |
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|a Signal processing
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| 653 |
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|a Optical data processing
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| 700 |
1 |
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|a Waltz, Frederick
|e [author]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b SBA
|a Springer Book Archives -2004
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| 856 |
4 |
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|u https://doi.org/10.1007/978-1-4471-0393-6?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 621.382
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| 520 |
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|a Machine vision systems offer great potential in a large number of areas of manufacturing industry and are used principally for Automated Visual Inspection and Robot Vision. This publication presents the state of the art in image processing. It discusses techniques which have been developed for designing machines for use in industrial inspection and robot control, putting the emphasis on software and algorithms. A comprehensive set of image processing subroutines, which together form the basic vocabulary for the versatile image processing language IIPL, is presented. This language has proved to be extremely effective, working as a design tool, in solving numerous practical inspection problems. The merging of this language with Prolog provides an even more powerful facility which retains the benefits of human and machine intelligence. The authors bring together the practical experience and the picture material from a leading industrial research laboratory and the mathematical foundations necessary to understand and apply concepts in image processing. Interactive Image Processing is a self-contained reference book that can also be used in graduate level courses in electrical engineering, computer science and physics
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