CIS 9601 Spring 2009
Computer Graphics and Image Processing
Instructor: Rolf Lakaemper
Office hours: Tu
Schedule:
Tuesday 7:25 - 9:55 PM Tuttleman Learning Center 302
Textbook:
- Gonzales/Woods: Digital Image Processing Third
Edition, Prentice Hall ISBN-13:978-0-13-168728-8
- Different Research Articles
Course Overview
The course
will give a thorough introduction to classical methods of Computer Vision. The
students will be introduced to image manipulation using methods of linear and
non linear signal processing as well as statistical methods of image
processing. The course will build on theoretical foundation as well as on hands
on experience using MATLAB as programming language. The first part of the
course will mostly be in lecture style. The second part will consist of student
(group) presentations of projects. Grading will be based on class participation
(incl. in class mini quizzes), homework assignments, projects, project
presentation and final exam.
Course Schedule
- Week 01 : Introduction to Image Processing & MATLAB. [Chpater
1,2 of Textbook]
- Week 02 : Intensity Transforms & Spatial Filtering [Chapter 3]
- Week 03 : Morphological Image Processing [chpater 9]
- Week 04 : Image Processing in the Frequency Domain, 1D fourier
filtering, applications in Object detection and recognition [chapter 4]
- Week 05 : Image Processing in the Frequency Domain, 2D fourier
filtering
- Week 06 : Image Restoration and Reconstruction, Color Image
Processing [chapter 5,6]
- Week 07 : Image Compression: jpg, gif, ... [chapter 8]
- Week 08 : (spring break)
- Week 09 : Segmentation [chapter 10 & different research
articles]
- Week 10 : Different Representations & Statistical Approaches to
Computer Vision [chapter 11, parts of chapter 12, different research
articles]
- Week 11 : Cont’d
- Week 12 : Cont’d
- Week 13 : Presentations 1-2, discussion
- Week 14 : Presentations 3-4, discussion
- Week 15 : discussion,
review for final exam
Student Projects
I expect you
to suggest projects of your interest to me. Of course i will help finding an
appropriate project in cooperation with you. Project suggestions in the form of
a 1-2 page description have to be handed in before spring break. You will have
to make a short presentation (15 minutes) of the current state of the project
in week 10, by appointment in my office. The final project presentation must be
a full 45 minute presentation with power point (or similar) slides.
Slides
MATLAB Demo Files
|
Image Merging and Encrypting(Color vs. Intensity, Demo
of class 2) |
|
PAPERS
- Belongie/Malik: Shape Context
- Sketch Based Retrieval using
Angular Partitioning
- Rotation Invariant Shape
Context
- Zhang, Lu: A Comparative Study on
Shape Retrieval Using Fourier Descriptors with Different Shape Signatures
- L. J. Latecki and R. Lakaemper: Application
of Planar Shape Comparison to Object Retrieval in Image Databases. Pattern
Recognition (PR), pp. 15-29, 35 (1), 2002.
- Paper on Vantage Object Selection
- more papers will be added during the course
Quizzes
HOMEWORK
- Homework must be sent as zipped email-attachment to
lakamper@temple.edu
- Please name the zip-file: hwXX_NNNNN, XX=number of assignment,
NNNNNN=your name
- The attachment must include a single folder with all necessary
files
- Please make the subject of the email: homework 601/XX All homework
assignments are 1 week assignments.