1. Image Processing Lecture 1 Introduction and Application - Gaurav Gupta - Shobhit Niranjan

2. Instructors Gaurav Gupta Can catch at : B109/Hall-1 mail at: gauravg@iitk.ac.ingauravg@iitk.ac.in gtalk: gauravg.84@GMAIL more information at: http://home.iitk.ac.in/~gauravghttp://home.iitk.ac.in/~gauravg Shobhit Niranjan Can catch at : B211/Hall-1 mail at: nshobhit@iitk.ac.innshobhit@iitk.ac.in gtalk: shobhitn@GMAIL more information at: http://home.iitk.ac.in/~nshobhithttp://home.iitk.ac.in/~nshobhit

3. Course Structure 1. Introduction to Image Processing, Application and Prospects (Today) 2. Introduction, Image formation, camera models and perspective geometry 3. Fourier Transform theory, Convolution and Correlation 4. Color, Image enhancement Techniques 5. Binary images: thresholding, moments, topology Note: Some topics may not be in order to maintain coherency and running time requirements. (Bare with us …trying to teach first time !!)

4. Today Image Formation Range Transformations  Point Processing Reading for this week:  Gonzalez & Woods, Ch. 3

5. Image Formation f(x,y) = reflectance(x,y) * illumination(x,y) Reflectance in [0,1], illumination in [0,inf]

6. Sampling and Quantization

8. What is an image? We can think of an image as a function, f, from R 2 to R:  f( x, y ) gives the intensity at position ( x, y )  Realistically, we expect the image only to be defined over a rectangle, with a finite range: f: [a,b] x [c,d]  [0,1] A color image is just three functions pasted together. We can write this as a “vector-valued” function:

9. Images as functions

10. What is a digital image? We usually operate on digital (discrete) images:  Sample the 2D space on a regular grid  Quantize each sample (round to nearest integer) If our samples are  apart, we can write this as: f[i,j] = Quantize{ f(i , j  ) } The image can now be represented as a matrix of integer values

11. Image processing An image processing operation typically defines a new image g in terms of an existing image f. We can transform either the range of f. Or the domain of f: What kinds of operations can each perform?

12. Negative

13. Log

14. Image Enhancement

15. Contrast Streching

16. Image Histograms

17. Histogram Equalization

18. Neighborhood Processing (filtering) Q: What happens if I reshuffle all pixels within the image? A: It’s histogram won’t change. No point processing will be affected… Need spatial information to capture this.

19. Programming Assignment #1 Easy stuff to get you started with Matlab  Shobhit will hold your first tutorial Topics will be from next 2 lectures

20. Applications & Research Topics

21. Document Handling

22. Signature Verification

23. Biometrics

24. Fingerprint Verification / Identification

25. Fingerprint Identification Research at UNR Minutiae Matching Delaunay Triangulation

26. Object Recognition

27. Object Recognition Research reference view 1 reference view 2 novel view recognized

28. Indexing into Databases Shape content

29. Indexing into Databases (cont’d) Color, texture

30. Target Recognition Department of Defense (Army, Airforce, Navy)

31. Interpretation of aerial photography is a problem domain in both computer vision and registration. Interpretation of Aerial Photography

32. Autonomous Vehicles Land, Underwater, Space

33. Traffic Monitoring

34. Face Detection

35. Face Recognition

36. Face Detection/Recognition Research at UNR

37. Facial Expression Recognition

38. Face Tracking

39. Face Tracking (cont’d)

40. Hand Gesture Recognition Smart Human-Computer User Interfaces Sign Language Recognition

41. Human Activity Recognition

42. Medical Applications skin cancer breast cancer

43. Morphing

44. Inserting Artificial Objects into a Scene

45. Companies In this Field In India and came to IITK* Sarnoff Corporation Kritikal Solutions National Instruments GE Laboratories Ittiam, Bangalore Interra Systems, Noida Yahoo India (Multimedia Searching) nVidia Graphics, Pune (have high requirements) ADE Bangalore, DRDO

46. Links for Self Study and a little Play http://undergraduate.csse.uwa.edu.au/units/2 33.412/ http://undergraduate.csse.uwa.edu.au/units/2 33.412/ http://www.netnam.vn/unescocourse/compute rvision/computer.htm http://www.netnam.vn/unescocourse/compute rvision/computer.htm Book: Digital Image Processing, 2nd Edition by Gonzalez and Woods, Prentice Hall

47. Good Luck !!!