1. Machine Vision Software Douglas Destro Oct. 20, 2014

2. Review “It is the automatic extraction of information from digital images” What is Machine Vision? Parts of a Machine Vision System Lighting Lens Sensor Vision Processing Communication

3. Lighting Lens, and sensors Vision processing Communication

4. Overview A bit of history and current state Vision technology started in the 50’s, but the widespread use in industry arouse in the 80’s and 90’s Early Automatix machine vision system (1983)

5. Overview A bit of history and current state Today, we can find different types of software that are very sophisticated, capable of complex analysis, and user-friendly.

6. Overview Where? Virtually, every Machine Vision System uses software for image processing, analysis, and communication. It is a key component for its efficiency and speed.

7. Another solution

8. Overview Who? Automotive Agriculture Consumer goods Defense

9. Overview What? When? There are four common uses of Machine Vision software Decoding Location CountingMeasurement

10. Overview Primary vendors and costs? Range Free-$500

11. Overview Supporting Technology Hardware Requirements Microsoft Windows PC: Core2Duo, 1 USB or 1 Network Work memory: > 256 MB Display: VGA 64 K or True Color Software Requirements Windows XP (32 bit): SP3, 1 GB RAM Windows 7 (32, 64 bit): SP1, 2 GB

12. Use in Industry

14. Histogram analysis and equalization

15. How to automatically brighten dark pixel values and darken light ones? Performing a histogram equalization is to find an intensity mapping function f(I) such that the resulting histogram is flat. This is done by first computing the cumulative distribution function, then applying f(I) = c(I)

16. Limitations Lack of contrast (muddy looking) Noise in dark regions can be amplified and become more visible There are ways to mitigate these problems: Using a linear blend between the cumulative distribution function and the identity transform

17. Standards http://www.emva.org/cms/upload/Marketing_edocs_download/FSF_Vision_Standard s_Brochure_A4_screen.pdf

18. Video https://www.youtube.com/watch?v=1IF3udt5ClI

19. Class Application http://nifty.stanford.edu/2011/parlante-image-puzzle/

20. References http://en.wikipedia.org/wiki/Machine_vision#Market http://www.emva.org/cms/upload/Marketing_edocs_downlo ad/FSF_Vision_Standards_Brochure_A4_screen.pdf https://www.youtube.com/watch?v=1IF3udt5ClI http://nifty.stanford.edu/2011/parlante-image-puzzle/ https://www.youtube.com/watch?v=1IF3udt5ClI