1. Machine Vision Basics 1.What is machine vision? 2.Some examples of machine vision applications 3.What can be learned from biological vision? 4.The curse of television

2. What is Machine Vision? Machine vision is the application of image analysis techniques to factory automation. Just as human inspectors working on assembly lines visually inspect parts to judge the quality of workmanship, so machine vision systems use digital cameras and image processing software to perform similar inspections. A machine vision system is a computer that makes decisions based on the analysis of digital images.

3. Technology Requirements The design of industrial vision systems requires a broad spectrum of techniques and disciplines. These include electrical engineering (hardware and software design), engineering mathematics, physics (optics and lighting) and mechanical engineering (since industrial vision systems deal with a mainly mechanical world). Detailed descriptions of the techniques and

4. Elements of Image Analysis Enhance features (discard irrelevant information) Binarize image Perform connectivity Calculate feature attributes Classify/measure

5. Elements of a Vision System Handling system Illumination Optics Camera Image capture hardware Image processing hardware Computer

6. Machine Vision Flow Chart

7. Photopic Vision and EM Spectrum

8. Natural Ambient Illumination

9. Scotopic Vision

10. Spatial Frequency Response

11. Mach Band

12. Mach Bands

13. Color Vision

14. Color Generation

15. Optical Illusions

16. Pattern Recognition

17. Video Scanning Approaches

18. Television Standards

19. Digital Image Basics