1. Digital image Levels of gray levels, quality: 1 byte = 8 bit 0 = Black
255 = White

2. Digital image Levels of gray levels, quality: 1 byte = 8 bit 0 = Black
255 = White

3. Basic transformations
Reverse
0 = Black
255 = White

4. Basic transformations
Brightness
b = 100
0 = Black
255 = White

5. Basic transformations
Contrast
c = 1.3
0 = Black
255 = White

6. Image analysis
Amplifier
a = 100
0 = Black
255 = White

7. Image analysis
Amplifier
a = 200
0 = Black
255 = White
a = 100

8. Image analysis
Amplifier
a = 255
0 = Black
255 = White
a = 200

9. Image analysis
Amplifier
a = 128
0 = Black
255 = White

10. Image analysis Example: defect recognition a = 128 0 = Black
255 = White

11. Image analysis
Center of gravity (mass center)
0 = Black
255 = White

12. Image analysis
Center of gravity (mass center)
0 = Black
255 = White

13. Image analysis Bounds Foreground 0 = Black Part Background 255 = White
Gradient
Mask

14. Recognition of bounds
Gradient f f

15. Recognition of points and lines
Gradient
x = 95
y = 90

16. Recognition of points and lines
Gradient

17. Recognition of points and lines
Gradient
x = 200
y = 150

18. Recognition of points and lines
Gradient x y

19. Recognition of points and lines
Gradient

20. Recognition of points and lines
Mask

21. Recognition of points and lines
Mask