An Outline for Beginners

1. Minhas Kamal
Software Engineer,
SRBD, Dhaka, Bangladesh
Website: https://minhaskamal.github.io
Date: 1st Aug, 2017
Image Processing
Digital Image Processing – An Outline for Beginners
Public
Version: 0.1

2. Contents
• Image: A 2D Matrix
• A Dive into Pixel Color
• Image Sampling & Quantization
• What Is Image Processing?
• Filter & Convolution
• Morphological Operation
• Applications of DIP
TotalSlides-14

3. Image: A 2D Matrix
{10 50 40
60 20 30
90 80 70 }
01

4. Image: A 2D Matrix
{10 50 40
60 20 30
90 80 70 }=
int[][] matrix
01

5. Image: A 2D Matrix
02

6. Image: A 2D Matrix
02

7. Image: A 2D Matrix
03

8. 03
R

9. 03
R
G

10. 03
R
G
B

11. 03
R
G
B

12. 03
Image: A 2D Matrix

13. A Dive into Pixel Color
04
1 pixel

14. A Dive into Pixel Color
05
RGB (red-green-blue) Color Space
used in screen

15. A Dive into Pixel Color
05
CMY (cyan-magenta-yellow) Color Space
used in printing

16. Why Different Color Spaces?
06
Colorful Light
Source
Colorful Reflection
Surface

17. Why Different Color Spaces?
06
Green
Light

18. A Dive into Pixel Color
07
Color Cube

19. A Dive into Pixel Color
07
HSV Color Cone HSL Color Twin-Cone

20. Image Sampling & Quantization
08
Sampling Quantization

21. INTERMISSION

22. What Is Image Processing?
09

23. Filter & Convolution
10

24. Different Types Filters
11
0 0 0
0 1 0
0 0 0
Identity Filter
+

25. Different Types Filters
11
1 1 1
1 1 1
1 1 1
Mean Filter
+

26. Different Types Filters
11
1 2 1
0 0 0
-1 -2 -1
Horizontal Sobel Filter
+

27. Different Types Filters
11
0 -1 0
-1 5 -1
0 -1 0
Highboost Filter
+

28. Morphological Operation
1 1 1
1 1 1
1 1 1
Structure
Element
12

29. Morphological Operation
A. fit
B. hit
C. miss
12

30. Morphological Operation
13
⊕ - ⊖
Closing Dots in
A Braille Character

31. 13

32. Applications of DIP
14
Contrast Enhancement
& Noise Reduction

33. Applications of DIP
14
Segmentation

34. Advanced Applications of DIP
14

35. 14

36. 14

37. Applications of DIP & ML
14

38. Applications of DIP & ML
14

39. Applications of DIP & ML
14

40. THANKS
Invitation for Deep Learning