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ECES 682 Digital Image Processing

ECES 682 Digital Image Processing. Oleh Tretiak ECE Department Drexel University. 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 Textbook: Web site: ece.drexel.edu/courses/ECE-S682

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ECES 682 Digital Image Processing

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  1. ECES 682 Digital Image Processing Oleh Tretiak ECE Department Drexel University 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 • 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 • Also see textbook website, imageprocessingplace.com • Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing (Second Edition), Prentice Hall, 2002 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%) 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. 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 Digtial Image Processing, Spring 2006

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

  8. Medical Images Digtial Image Processing, Spring 2006

  9. Multispectral Satellite Images Digtial Image Processing, Spring 2006

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

  11. Radar Image Digtial Image Processing, Spring 2006

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

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

  14. Subjective Brightness Perception Digtial Image Processing, Spring 2006

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

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

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

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

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

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

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

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

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

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

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

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

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

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