1. Source & Courtesy: Jong-Il Park Hanyang University
Computer Vision
Introduction
Source & Courtesy: Jong-Il Park
Hanyang University

2. This Class
Goal
Understanding basic concepts and methodologies for image processing(IP)
Developing a foundation for further study and research in IP and computer vision(CV)
Learning how to develop IP/CV software
How?
Lectures: 3 hours/week
Ordinary lecture(3/4)
Programming lesson(1/4)
Assignments: 2~3/month

3. Background Probability Theory and Random Process Linear Algebra
Signals and Systems
Digital Signal Processing
C/C++ programming skill

4. Images

5. What is Image? picture size  picture resolution ; 256256, 512512
0  f(x,y)  L(=255) ; gray level, 8bit/pixel
(x,y) ;spatial coordinate
t ;temporal coordinate

6. Image formation

10. Image Coordinate

11. ; M×N matrix
; aij= f (x=i, y=j)

12. Spatial Resolution

14. Gray-Level Resolution16 8
256
128 4 2 64 32

16. Functional form Functional forms f(x,y) : 2-D still image
f(x,y,t), f(x,y,z) : video sequence, 3D object
f(x,y,z,t) : moving 3-D object
Meaning
brightness(luminance) or color of an object
TV camera, scanner
absorption characteristics of objects(especially bodies)
X-ray imaging, Ultrasonic imaging, CT
distance between objects and measuring instrument
sonar imaging, radar imaging, range camera
temperature of an object
IR(infrared) camera

17. Famous Images
Lena (512*512)
Barboon (512*512)
Boat (512*512)

18. First photograph First photograph due to Niepce,
First on record shown
Basic abstraction is the pinhole camera
First successful commercial photograph due to Eastman in late 19th

19. First digital picture

21. First digital image processing
Early 1960s

22. DIP in medical imaging Late 1960s and early 1970s
Computed tomography(CT)
Recent
Application
NIKS
Hanyang Univ.
2002.

23. EM spectrum

24. Examples: Gamma-ray imaging

25. Examples: X-ray imaging

26. Examples: Microscopy images

27. Thematic bands

29. Examples: Multi-spectral imaging

30. Examples: Imaging in the visible band

32. Examples: Infrared imaging
Nighttime
Lights of
The World

33. Examples: Microwave imaging
Radar image

34. Examples: Radio band imaging

35. Examples: Ultrasound imaging

36. Examples: Electron microscope
Scanning Electron Microscope

37. Examples: Computer-generated images

38. IP vs. Computer Vision Vision continuum Image processing Image
analysis
Computer
vision
Low-level
Mid-level
High-level
Filtering
Enhancement
Restoration
Edge detection
Compression
Segmentation
Classification
Recognition AI
Image-in
Feature-out
Image-in
Image-out
Image-in
Decision-out

39. Thanks…