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Series in Machine Perception and Artificial Intelligence - Vol. 22
MACHINE VISION FOR ADVANCED PRODUCTION
edited by M Pietikäinen (Univ. Oulu, Finland) & L F Pau (Ericsson Telecom. Sys., Sweden)
Machine vision technology has created a strong interest among research organizations, resulting in many innovative products. Despite this end users have been very skeptical towards machine vision and its robustness in harsh industrial environments. This book presents the results of a national machine vision technology program aimed at boosting research and putting research results to work in practical industrial applications. The topics to be covered include image acquisition, analysis of surface color and texture, applications of machine vision in surface inspection and process control, 3-D measurements, and CAD-based machine vision.
Contents:
- Preface (M Pietikäinen & L-F Pau)
- Machine Vision 1992–1996,
Technology Program in Finland (A J Soini)
- Design of Image Acquisition for Surface Inspection (A Härkönen et al.)
- An Intelligent Camera for Active Vision (L-F Pau)
- Imaging Spectrograph and Camera Solutions for Industrial Applications (F Herrala & J Okkonen)
- Some Aspects of RGB Vision and Its Applications in Industry (E Marszalec & M Pietikäinen)
- Determining Composition of Grain Mixtures by Texture Classification Based on Feature Distributions (T Ojala et al.)
- Recent Developments in Wood Inspection (O Silvén & H Kauppinen)
- Self-Organizing Feature Extraction in Recognition of Wood Surface Defects and Color Images (J Lampinen & S Smolander)
- Inspection of Colour Printing Quality (C Södergård et al.)
- Image Processing in Combustion Control (J Hirvonen et al.)
- Accurate 3-D Measurement Using a Single Video Camera (J Heikkilä & O Silvén)
- 3D Measurement Controlled by a CAD Model-Based Measurement Planning and Vision System (H Ailisto et al.)
- Machine Vision Tools for CAGD (V Koivunen & J-M Vezien)
Readership: Electrical and electronic engineers.
| 188pp |
Pub. date: Jul 1996 |
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* Special price applies only to individuals purchasing online and cannot be used in conjunction with any other offers.
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