ECE-S352 Introduction to Digital Signal Processing

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ECE-S490 Introduction to Digital Image Processing
Drexel University, Spring 2001
Instructor : Birsen Yazici
Office : Commonwealth Room 1-122
e-mail : yazici@cbis.ece.drexel.edu
phone : (215) 895-5901
Office Hours : 5:00-6:00pm Tue & Thr
Teaching assistant : Meltem Izzetoglu
Office : Commonwealth Room 7-610
e-mail : meltem@cbis.ece.drexel.edu
phone: (215) 895-1988
Course web site : www.ece.drexel.edu/ECE/ECE-S490_IP_
Text Book :
Lecture notes
Fundamentals of Digital Image Processing, A.K. Jain, Prentice-Hall, 1989.
Course Objectives :


Cover the basic analytical methods which are widely used in image processing.
These include deterministic and stochastic modeling, linear and nonlinear
filtering, and image transformations.
Develop experience in using computers to process images.
Tentative Course Outline :
1. Introduction and global image analysis techniques
a. Intensity histogram – global features
b. Histogram transformations
c. Histogram based segmentation and classification
d. Geometric operations – interpolation and rotation
2. 2D Linear filtering
a. Convolution
b. 2D-Filters
c. Smoothing and sharpening
3. Edge detection
a. 2D-neighborhoods and edge detection
b. Second derivative edge detectors
4. Noise reduction
a. 2D random variables
b. Optimal linear filtering
c. Nonlinear filtering
5. Image analysis
a. Segmentation
b. Classification and pattern recognition
c. 2D random field models and texture representation
d. Motion estimation
Homeworks : Homeworks will be assigned every week on Thursday and will be due
the following week on Thursday. Solutions will be posted on the course web
site the following day.
Computer assignments : Computer assignments of limited scope will be
assigned every week during the lab session and will be due on the due date.
(Will be due in 1 or 2 weeks depending on the length of the assignment.)
Projects : There will be two projects of broader scope. The first one will
be assigned by the instructor and the second one will be a term project and
will be proposed by the students. During the final week of the class,
students will be asked to give a 30 minute presentation of their term projects.
Grading policy : Homeworks : 25%
Computer Assignments : 25%
1st project : 15%
Term project: 35%
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