1. Digtial Image Processing, Spring 2006 1 ECES 682 Digital Image Processing Oleh Tretiak ECE Department Drexel University

2. Digtial Image Processing, Spring 2006 2 About the Course Instructior: Oleh Tretiak, Bossone 607, 215 895 2214, tretiak@coe.drexel.edu Office hours: M 2-4, Tu 2-4, or by appointment tretiak@coe.drexel.edu Textbook: Web site: ece.drexel.edu/courses/ECE-S682  Site contains syllabus, assignments, solutions, exams, etc  We will also use webct (reachable through Drexel One and http://vle.dcollege.net/) for grade distribution http://vle.dcollege.net/  Also see textbook website, imageprocessingplace.com Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing (Second Edition), Prentice Hall, 2002

3. Digtial Image Processing, Spring 2006 3 Course Administration Course Policy:  Homework will be assigned, collected, and graded. Late homework will not be accepted.  A special project will be assigned.  There will be a mid-term and final (comprehensive) examination. Grading:  Homework (15%), Project (15%), Midterm (30%), Final exam (40%)

4. Digtial Image Processing, Spring 2006 4 Course Content Introduction, vision, sensing and acquisition, sampling and quantization Image domain processing: grey value, histogram, arithmetic operations, spatial filtering Fourier domain processing: Fourier transform, DFT, smoothing, sharpening Image noise Image restoration Color and color processing, wavelets Compression: principles, theories, lossy static and motion compression Morphological processing Segmentation See Syllabus for further detail.

5. Digtial Image Processing, Spring 2006 5 Today’s Lecture Introduction (Chapter 1)  What is Image Processing  Examples of images  Steps in Digital Image Processing Digital Image Fundamentals (Chapter 2)  Elements of vision and visual perception  Light  Image sensing and acquisition  Image sampling and quantization  Relationship between pixels

6. Digtial Image Processing, Spring 2006 6 What is Image Processing? Machine Vision Computer Vision Pattern Recognition Image Processing

7. Digtial Image Processing, Spring 2006 7 Origin of DIP Picture of earth’s moon taken by space probe in 1964. Picture made with a television camera (vidicon), transmitted to the earth by analog modulation, and digitized on the ground.

8. Digtial Image Processing, Spring 2006 8 Medical Images

9. Digtial Image Processing, Spring 2006 9 Multispectral Satellite Images

10. Digtial Image Processing, Spring 2006 10 Image Processing in Manufacturing

11. Digtial Image Processing, Spring 2006 11 Radar Image

12. Digtial Image Processing, Spring 2006 12 Image Processing Procedures Image acquisition Enhancement Restoration Color processing Compression Morphological processing Segmentation Representation and description

13. Digtial Image Processing, Spring 2006 13 Digital Image Fundamentals Vision

14. Digtial Image Processing, Spring 2006 14 Subjective Brightness Perception

15. Digtial Image Processing, Spring 2006 15 Chapter 2: Digital Image Fundamentals

16. Digtial Image Processing, Spring 2006 16 Chapter 2: Digital Image Fundamentals

17. Digtial Image Processing, Spring 2006 17 Chapter 2: Digital Image Fundamentals

18. Digtial Image Processing, Spring 2006 18 Chapter 2: Digital Image Fundamentals

19. Digtial Image Processing, Spring 2006 19 Image Sensing and Acquisition Single sensor Line scan Array sensor Other (MRI, Ultrasound)

20. Digtial Image Processing, Spring 2006 20 Chapter 2: Digital Image Fundamentals

21. Digtial Image Processing, Spring 2006 21 Chapter 2: Digital Image Fundamentals

22. Digtial Image Processing, Spring 2006 22 Chapter 2: Digital Image Fundamentals

23. Digtial Image Processing, Spring 2006 23 Chapter 2: Digital Image Fundamentals

24. Digtial Image Processing, Spring 2006 24 Image Sampling and Quantization Actual image is continuous Digital image has a finite number of pixels and levels

25. Digtial Image Processing, Spring 2006 25 Chapter 2: Digital Image Fundamentals

26. Digtial Image Processing, Spring 2006 26 Spatial and Gray-Level Resolution Photo Id:  100x100 pixels, 4 bits (grey scale)  Color adds 50% Photo image  Depends when you bought a digital camera Film editing practice: 2048x1536 color pixels, 10 bit Advertising copy (Vogue)  30 Mb

27. Digtial Image Processing, Spring 2006 27 Chapter 2: Digital Image Fundamentals

28. Digtial Image Processing, Spring 2006 28 Basic Relationships Neighors and Neighborhoods Adjacency and connectivitiy Distance measures Pixel operations Linear and nonliear operations