Digtial Image Processing, Spring ECES 682 Digital Image Processing Oleh Tretiak ECE Department Drexel University
Digtial Image Processing, Spring About the Course Instructior: Oleh Tretiak, Bossone 607, , 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 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 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 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 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 What is Image Processing? Machine Vision Computer Vision Pattern Recognition Image Processing
Digtial Image Processing, Spring Origin of DIP Picture of earth’s moon taken by space probe in Picture made with a television camera (vidicon), transmitted to the earth by analog modulation, and digitized on the ground.
Digtial Image Processing, Spring Medical Images
Digtial Image Processing, Spring Multispectral Satellite Images
Digtial Image Processing, Spring Image Processing in Manufacturing
Digtial Image Processing, Spring Radar Image
Digtial Image Processing, Spring Image Processing Procedures Image acquisition Enhancement Restoration Color processing Compression Morphological processing Segmentation Representation and description
Digtial Image Processing, Spring Digital Image Fundamentals Vision
Digtial Image Processing, Spring Subjective Brightness Perception
Digtial Image Processing, Spring Chapter 2: Digital Image Fundamentals
Digtial Image Processing, Spring Chapter 2: Digital Image Fundamentals
Digtial Image Processing, Spring Chapter 2: Digital Image Fundamentals
Digtial Image Processing, Spring Chapter 2: Digital Image Fundamentals
Digtial Image Processing, Spring Image Sensing and Acquisition Single sensor Line scan Array sensor Other (MRI, Ultrasound)
Digtial Image Processing, Spring Chapter 2: Digital Image Fundamentals
Digtial Image Processing, Spring Chapter 2: Digital Image Fundamentals
Digtial Image Processing, Spring Chapter 2: Digital Image Fundamentals
Digtial Image Processing, Spring Chapter 2: Digital Image Fundamentals
Digtial Image Processing, Spring Image Sampling and Quantization Actual image is continuous Digital image has a finite number of pixels and levels
Digtial Image Processing, Spring Chapter 2: Digital Image Fundamentals
Digtial Image Processing, Spring 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 Chapter 2: Digital Image Fundamentals
Digtial Image Processing, Spring Basic Relationships Neighors and Neighborhoods Adjacency and connectivitiy Distance measures Pixel operations Linear and nonliear operations