Machine Vision Automated Visual Inspection Theory Practice and Applications 1st edition by Jürgen Beyerer, Fernando Puente León, Christian Frese ISBN 3662508184 978-3662508183

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ISBN 10: 3662508184

ISBN 13:  ‎ 978-3662508183

Author: Jürgen Beyerer, Fernando Puente León, Christian Frese 

The book offers a thorough introduction to machine vision. It is organized in two parts. The first part covers the image acquisition, which is the crucial component of most automated visual inspection systems. All important methods are described in great detail and are presented with a reasoned structure.
The second part deals with the modeling and processing of image signals and pays particular regard to methods, which are relevant for automated visual inspection.

Machine Vision Automated Visual Inspection Theory Practice and Applications 1st Table of contents: 

1. Introduction to Machine Vision

• Overview of Machine Vision

• Applications of Machine Vision in Industry and Beyond

• Key Components of a Machine Vision System

• Basic Principles of Image Acquisition

2. Image Acquisition

• Image Sensors and Camera Systems

• Lighting Techniques for Image Capture

• Image Formats and Data Representation

• Calibration of Vision Systems

3. Image Preprocessing

• Filtering Techniques: Smoothing and Edge Detection

• Image Enhancement Methods

• Histogram Analysis and Thresholding

• Noise Reduction in Image Data

• Image Segmentation and Region of Interest

4. Feature Extraction and Object Recognition

• Types of Features: Edges, Corners, and Regions

• Techniques for Feature Extraction

• Pattern Recognition and Object Classification

• Template Matching and Shape Analysis

• Machine Learning Approaches in Feature Recognition

5. Image Processing Algorithms

• Mathematical Foundations for Image Processing

• Algorithms for Object Detection and Tracking

• Image Matching and Alignment Techniques

• 3D Vision and Depth Perception

• Real-Time Processing for Automated Inspection

6. Machine Vision in Quality Control

• Defect Detection and Inspection Methods

• Surface and Structural Inspections

• Product Measurement and Dimensional Inspection

• Statistical Process Control (SPC) in Machine Vision

• Case Studies: Vision Systems in Manufacturing

7. Automated Visual Inspection Systems

• Designing Automated Visual Inspection Systems

• System Architecture and Integration

• Hardware and Software Requirements for Inspection Systems

• Calibration and System Optimization

• Real-World Applications of Automated Inspection

8. Advanced Machine Vision Applications

• Vision-Based Robot Guidance and Manipulation

• Vision Systems in Autonomous Vehicles

• Medical Imaging and Diagnostics

• Machine Vision in Agriculture and Food Quality Inspection

• Vision in Electronics and Semiconductor Manufacturing

9. Machine Vision in Industry

• Robotics and Machine Vision in Manufacturing

• Vision Systems in Packaging and Sorting

• Vision for Automation in Logistics and Distribution

• Vision Applications in Semiconductor Inspection

• Quality Control in Automotive and Aerospace Industries

10. Artificial Intelligence in Machine Vision

• Role of AI and Deep Learning in Image Processing

• Neural Networks for Image Recognition and Classification

• Convolutional Neural Networks (CNNs) in Vision Systems

• Applications of AI in Automated Inspection Systems

11. Vision System Integration and Testing

• Integrating Vision Systems into Existing Production Lines

• Testing and Validating Vision Systems

• Error Detection and Troubleshooting in Vision Systems

• Software Tools for Machine Vision System Development

12. Future Trends and Challenges in Machine Vision

• Emerging Technologies in Machine Vision

• Advances in Sensor Technologies

• Challenges in Machine Vision for Complex Applications

• The Future of Vision Systems in Industry and Healthcare

13. Appendices

• A: Glossary of Machine Vision Terms

• B: Recommended Software and Tools for Vision System Development

• C: Case Studies and Industry Examples

• D: References and Further Reading

14. Index

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Jürgen Beyerer,Fernando Puente León,Christian Frese,Machine Vision,Visual Inspection