The document is an introduction to image processing hosted by Aerobotix, covering key topics such as image basics, essential functions like grayscaling and thresholding, and advanced techniques including filters, masking, contour and face detection. It emphasizes using OpenCV, an open-source computer vision library, primarily with Python for various image processing applications. The presentation also includes practical coding examples and demonstrations of functions like bitwise operations and edge detection.

1. Introduction
to Image
processing
Hosted by : Aerobotix INSAT
Presented by : BOUAFIF Rayen

2. BOUAFIF RAYEN
- IIA4 Student
- Aerobotix Training manager

3. Plan :
• Introduction ( Image Processing vs Computer Vision ? )
• What’s An Image ?
• Basic Functions (Grayscaling , Thresholding, Transformations)
• Filters
• Bitwise Operations
• Masking

4. • Masking
• Contour detection
• Face detection project (HAAR cascade)
• Face Recognition

5. I - Introduction to Image
Processing :

6. I - Introduction to Image
Processing :
- OpenCV : Open Source Computer Vision Library
- A great tool for Image processing and computer
vision applications .
- It supports multiple languages like Python , Java ,
C++.
- We’re going to use python for this course

7. II - What’s an image? :

8. Old Carthaginian Mosaic
composed of little pieces of
ceramic. Can you find out now
what a pixel is ?

9. u zoom in , in paint you’ll
he same thing !

10. II - What’s an image? (2D):

13. Let’s Code !

18. III - Basic Functions :
1-Gray Scaling (Averaging a picture)

19. Original Averaging Weighted
(RGB2GRAY)

20. 2-Thresholding :

22. 3- Image transformation :

24. Rescaling :

25. IV - Filters:

26. 1- Blur :
A - Averaging Blur :
Original Averaging Blur

29. 1- Blur :
A - Gaussian blur :

30. Example: Gaussian Blur (Gaussian Function) :

32. Median Blur :

33. Gaussian Blur

34. Edge detection :

40. VII-Drawing Shapes ,Inserting
Texts on an image :

41. V- Bitwising operations :
1- Bitwise And : CV.bitwise_and(rectangle, circle)

42. 2 -Bitwise Or :
CV.bitwise_or(rectangle, circle)

43. 3- Bitwise XOR :
CV.bitwise_xor(rectangle, circle)

44. VI- Masking :

45. VII- Line detection : (Hough
Transform) :