EE 528: Digital Image Processing, Spring
2007
Updates
- Make-up class (for
last week) on Thursday, April 26, 1pm - 2:30pm in 3138 Coover Hall
- Final talks of projects will be
on May 8, time and location TBD
- ALL homeworks (1-7) and
project reports should be sent to me by May 8 afternoon (if you want
your grade!)
- April 9: Homework 7 posted. Due April 25.
- April 9: Finish your project
reports and code with all the modifications I've told to each person. I
will grade by Sunday.
- I am still waiting for homeworks
from 3 students. I need homeworks by Friday evening.
- Start looking at Extra Problems: now you should be able to
attempt them.
- All homework/exam grades updated in WebCT. Please check for
errors.
- Homework 6 posted.
- Send me a project abstract (problem definition & papers
you'll look at) for the first project by March 7.
- Class location changed to 1120 Sweeney
Instructor -
Dr. Namrata Vaswani,
Email: namrata AT iastate.edu,
Phone:
515-294-4012,
Office: 3121 Coover Hall
Location
changed: Class Location & Time: Mon-Wed
9:30-10:50. Room: 1120 Sweeney
Office Hours: 2-3 Friday, 11-12 Tuesday in 3121 Coover
Prerequisites: EE 224 (Signals and
Systems), EE 322
(Probability for EE), some linear algebra, calculus. EE424 is
listed but not really necessary (if you know 224 and 322 well,
it should suffice).
Syllabus and Class Information
Sheet: pdf
Homeworks
Project
Requirements, Deadlines & Topics
Extra problems (Both practical and numerical. You should now have the background to
look at these problems.)
Teaching
Schedule & Handouts
Handouts
See Teaching schedule for other
topics covered from book
Slides on Introduction to Image Processing
Signal Processing Review notes
Image Restoration Slides
Link to KLT Tracker
implementation
Edge detection, Boundary
Tracing, Edge Linking
Calculus of
variations
Snakes
Geometric
contour repr. & Level set method
Next class: Level Set methods for
segmentation
Please revise:
1. Probability for EE: EE 322
(Probability for EE) at ISU (Fall 2006)
2. Fourier Transforms (continuous and
discrete), Sampling, Reconstruction, Decimation and
Interpolation
a) Review notes (updated 1/17/07).
b) An Excellent Tutorial: http://ccrma.stanford.edu/~jos/mdft/mdft.html
c) A very basic tutorial here: http://www.bores.com/courses/intro/index.htm
d) EE 224 (Signals and
Systems) at ISU (Fall 2006)
3. Linear
Algebra: http://www.maths.mq.edu.au/~wchen/lnlafolder/lnla.html
(Chapters 5-10, Chap 11,12 may also be useful)
Useful Links
MATLAB
Image Processing toolbox
Milan
Sonka's Image Processing notes
An excellent
tutorial on DSP (DFT, sampling, decimation etc)
A
useful set of Linear Algebra notes (Chap 5 and onwards)
Set
of tutorials on the book page of Gonzalez and Woods' Digital
Image Processing 2/E
An
easy, very basic DSP tutorial
Some Other Useful classes at ISU
EE 520 (my old
Computer Vision class)
EE527
(Detection
and Estimation Theory)
STAT580
(Computational Methods on Statistics) - see for handout
on Monte Carlo methods
EE524
(Digital
Signal Processing)
EE523
(Random Processes)