This document discusses machine vision systems and their components. A basic machine vision system includes a camera, light source, frame grabber, circuitry and programming, and a computer. Key components of machine vision systems are the image, camera, framegrabber, preprocessor, memory, processor, and output interface. The document also describes CCD and vidicon cameras, their advantages and disadvantages, and the functions of framegrabbers in sampling and quantizing images. Object properties that can be analyzed from pixel grey values include color, specular properties, non-uniformities, lighting. Applications of machine vision systems are also mentioned.

1. MACHINE VISION SYSTEMS

4. Simple machine vision system

5. 1.Camera 2.light source
3.frame grabber 4.circuitry and programming
5.computer 6.output interface

6. COMPONENTS OF
MACHINE VISION SYSTEM
Image
Camera
Image capturing system or
framegrabber
The pre processor
The memory
The processor
The output interface

7. Structured light technique

12. CCD (CHARGE
COUPLED DEVICE)
• It is a silicon based integrated circuit.
• Image gets focused on chip.
• Charge at each electrode is proportional
to exposure to light energy

13. CCD CAMERA
ADVANTAGES
• More sensitive at low light.
• Produces better image even
in extreme variation in
brightness
DISADVANTAGES
• Since silicon processing is
still new science, so there
seems to be variation in
light sensitivity from pixel to
pixel.

14. Vidicon camera
• Technique used is same as in television.
• The charge in electrode is proportional to
amount of light received.
• Does not break image in pixel as CCD camera.

15. Vidicon camera
advantages
• Is more reliable.
• Low cost.
• Number and arrangement
of pixel is in the hand of
programmer.
• More flexible.
• Grid and pixel shape can be
varied.
disadvantages
• Doesn't break the image in
pixel as ccd camera.
• Analog output.
• Imposes constraints on
system designer.

16. Function of Framegrabber.
• Sampling
• Quantization
• Note : image from videocon camera must be sampled and quantized,
images from ccd camera need only quantization.

17. Sampling.
• Breaks each row of continuous
charge reading to column of
discrete charge reading.

18. Quantization.
• Analog to digital converter.
• Binary codes are assigned on
the level of light.

19. Camera with analog-to-digital converter results in
digital representation of image

20. Mapping of three-dimensional scene into two-
dimensional plane

21. Depiction of resolution/pixelation; digitally encoded values of
shades of grey

22. Object Properties in Pixel Grey Value
• Color
a. Hue
b. Saturation
c. Brightness
• Specular properties
I. Reflectance
II.Texture
III.Shading
IV.Shadows
• Non-uniformities
• Lighting

23. Advantages
• Faster
• More consistent
• Longer

24. APPLICATION

31. REFERENCES
• Barker, Ronald D., "Managing Yields by Yielding Management to Computers,“
• http://www.dekker.com
• Gehner, William S., "Computer Aided Inspection and Reporting CAIR," Proceedings
CAM-I Computer Aided Quality
• Kutcher, Mike, "Automating it All," IEEE Spectrum, May, 1983, pp. 40–43.
• Bravo, P.F. and Kolozsvary, "A Materials Quality System in a Paperless Factory,"
Proceedings CAM-I Computer Aided Quality Conference, May, 1982, Baltimore,
Md., pp. 113–121.
• www.microscan.com