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Smart inspection systems : techniques and applications of intelligent vision / D.T. Pham, R.J. Alcock.

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Format:
Book
Author/Creator:
Pham, D. T.
Contributor:
Alcock, R. J.
Language:
English
Subjects (All):
Quality control--Optical methods.
Quality control.
Engineering inspection.
Physical Description:
1 online resource (235 p.)
Place of Publication:
Amsterdam ; New York : Academic Press, c2003.
Language Note:
English
Summary:
Smart 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 AV
Contents:
Front Cover; Smart Inspection Systems: Techniques and Applications of Intelligent Vision; Copyright Page; Contents; Chapter 1. Automated Visual Inspection and Artificial Intelligence; 1.1 Automated Visual Inspection; 1.2 Applications of AVI; 1.3 Artificial Intelligence; 1.4 Artificial Intelligence in AVI; 1.5 Summary; References; Problems; Chapter 2. Image Acquisition and Enhancement; 2.1 Image Acquisition; 2.2 Image Enhancement; 2.3 Discussion; 2.4 Summary; References; Problems; Chapter 3. Segmentation; 3.1 Edge Detection; 3.2 Thresholding; 3.3 Region Growing; 3.4 Split-and-merge
3.5 Window-based Subdivision3.6 Template Matching; 3.7 Horizontal and Vertical Profiling; 3.8 AI-based Segmentation; 3.9 Post-Processing of Segmented Images; 3.10 Discussion; 3.11 Summary; References; Problems; Chapter 4. Feature Extraction and Selection; 4.1 Window Features; 4.2 Object Features; 4.3 Features from Colour Images; 4.4 Feature Selection; 4.5 Discussion; 4.6 Summary; References; Problems; Chapter 5. Classification; 5.1 Bayes' Theorem Classifiers; 5.2 Rule-Based Classification; 5.3 MLP Neural Network Classification; 5.4 Synergistic Classification; 5.5 Discussion; 5.6 Summary
ReferencesProblems; Chapter 6. Smart Vision Applications; 6.1 Inspection of Car Engine Seals; 6.2 Inspection of Wood Boards; 6.3 Texture Classification; 6.4 Summary; References; Problems; Chapter 7. Industrial Inspection Systems; 7.1 Image Processing Functions of Inspection Systems; 7.2 State-of-the-Art Vision Systems; 7.3 Future of Industrial Inspection Systems; 7.4 Summary; References; Problems; Appendix; Author Index; Index
Notes:
Description based upon print version of record.
Includes bibliographical references and indexes.
ISBN:
1-281-03848-2
9786611038489
0-08-054127-5
OCLC:
476100768

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