Smart Inspection Systems: Techniques and Applications of Intelligent VisionSmart Inspection Systems: Techniques and Applications of Intelligent Vision will enable engineers to understand the various stages of automated visual inspection (AVI) and how artificial intelligence can be incorporated into each stage to create "smart" inspection systems. The book contains many examples that illustrate and explain the application of conventional and artificial intelligence techniques in AVI. The text covers the whole AVI process, from illumination, image enhancement, segmentation and feature extraction, through to classification, and includes case studies of implemented AVI systems as well as reviews of commercially available inspection systems. Each chapter concludes with exercises. This book will be of interest to users and developers of commercial industrial inspection systems as well as researchers in the fields of machine vision, artificial intelligence and advanced manufacturing engineering. |
Contents
| 1 | |
Chapter 2 Image Acquisition and Enhancement | 35 |
Chapter 3 Segmentation | 69 |
Chapter 4 Feature Extraction and Selection | 95 |
Chapter 5 Classification | 129 |
Chapter 6 Smart Vision Applications | 157 |
Chapter 7 Industrial Inspection Systems | 193 |
Appendix | 209 |
| 213 | |
| 219 | |
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Smart Inspection Systems: Techniques and Applications of Intelligent Vision D. T. Pham,R. J. Alcock No preview available - 2003 |
Common terms and phrases
Alcock R.J. applications area of interest artificial intelligence artificial intelligence techniques automated inspection Automated Visual Inspection AVI systems Bayro-Corrochano calculated chromosomes classes colour combination module convolution filter detector determine developed edge detection employed Engineering example image expert system feature extraction feature selection feature vector frontlighting function fuzzy logic genetic algorithms grey levels hidden neurons histogram IEEE Trans illumination image acquisition image enhancement image processing image segmentation inductive learning input inspection system Journal large number light source Machine Vision Machine Vision System Manufacturing matrix method minimum bounding rectangle neural network number of features object operation output parameters Pattern Recognition performance Pham and Alcock Pham D.T. pixels problem Proc production region growing rule-based seal segmented image simulated annealing smart cameras SOFM start_y statistical subset Synergistic Classification Tabu search texture threshold training set utilised Wood Boards Wood Veneer