ECES 682 Digital Image Processing
Oleh Tretiak
ECE Department
Drexel University
Digtial Image Processing, Spring
2006
1
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
2
Digtial Image Processing, Spring 2006
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%)
3
Digtial Image Processing, Spring 2006
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.
4
Digtial Image Processing, Spring 2006
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
5
Digtial Image Processing, Spring 2006
What is Image Processing?
• Machine Vision
• Computer Vision
• Pattern Recognition
• Image Processing
6
Digtial Image Processing, Spring 2006
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
7
Medical Images
Digtial Image Processing, Spring
2006
8
Multispectral Satellite Images
Digtial Image Processing, Spring
2006
9
Image Processing in Manufacturing
Digtial Image Processing, Spring
2006
10
Radar Image
Digtial Image Processing, Spring
2006
11
Image Processing Procedures
•
•
•
•
•
•
•
•
Image acquisition
Enhancement
Restoration
Color processing
Compression
Morphological processing
Segmentation
Representation and description
12
Digtial Image Processing, Spring 2006
Digital Image Fundamentals
• Vision
13
Digtial Image Processing, Spring 2006
Subjective Brightness Perception
14
Digtial Image Processing, Spring 2006
Chapter 2: Digital Image Fundamentals
15
Digtial Image Processing, Spring 2006
Chapter 2: Digital Image Fundamentals
16
Digtial Image Processing, Spring 2006
Chapter 2: Digital Image Fundamentals
17
Digtial Image Processing, Spring 2006
Chapter 2: Digital Image Fundamentals
18
Digtial Image Processing, Spring 2006
Image Sensing and Acquisition
•
•
•
•
Single sensor
Line scan
Array sensor
Other (MRI, Ultrasound)
19
Digtial Image Processing, Spring 2006
Chapter 2: Digital Image Fundamentals
20
Digtial Image Processing, Spring 2006
Chapter 2: Digital Image Fundamentals
21
Digtial Image Processing, Spring 2006
Chapter 2: Digital Image Fundamentals
22
Digtial Image Processing, Spring 2006
Chapter 2: Digital Image Fundamentals
23
Digtial Image Processing, Spring 2006
Image Sampling and Quantization
• Actual image is continuous
• Digital image has a finite number of pixels and levels
24
Digtial Image Processing, Spring 2006
Chapter 2: Digital Image Fundamentals
25
Digtial Image Processing, Spring 2006
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
26
Digtial Image Processing, Spring 2006
Chapter 2: Digital Image Fundamentals
27
Digtial Image Processing, Spring 2006
Basic Relationships
•
•
•
•
•
Neighors and Neighborhoods
Adjacency and connectivitiy
Distance measures
Pixel operations
Linear and nonliear operations
28
Digtial Image Processing, Spring 2006