CS586
Pattern Recognition and Digital Image Processing
Southern Illinois University
Instructor: Dr. Henry Hexmoor

Spring 2007
Class times: MWF 1400-1450pm
Instructor office hours: Tu/Th 1400-1500
Place: Quigley 211


Course Description:

This course presents an introduction to the techniques and algorithms of digital image processing. Class lectures will closely track outline of the the course textbook.

Grading: Term, team poject 40%, a midterm exam (covering chapters 1-5) at 20%, a final in-class exam (covering chapters 6-10 from Efford textbook and supplemental material) at another 20%, two individually programmed demos at 2 points each, three homeworks at 2 points each, class participation and attendance is worth 10% . Keep all your graded assignments. Grades will be assigned at a instructor-student meeting class session. All exam and grading meeting dates will be determined by consensus.

What this course is NOT: a toolkit training class.

Pre-requisites:

There are no formal pre-requisites. However, be aware that this is a programming intensive course requiring Java programming skills (not covered in class).

Graduate and senior undergraduate students are welcome.

DEMO 1: Write a program that enhances contrast on an assigned test image. A report is NOT required. This is due four weeks after assignment.
DEMO 2: Write a program using the test image that detects distinct objects and draws boundary lines around each object. A report is NOT required. This is due four weeks after assignment.

HW 1: Write a 1000 words (APA style) paper on the limitations of Sobel template filtering. This is due two weeks after assignment.

HW 2: Write a 1000 words (APA style) paper contrasting machine vision with digital image processing (DIP). This is due two weeks after assignment.

HW 3: Write a 1000 words (APA style) paper on the state of the art in the medical DIP capability. This is due two weeks after assignment.

Plonsky's online APA guide

Important Dates
February 7, 2007 HW 1 A 1000 words paper on the limitations of Sobel template filtering
February 21, 2007 HW 2 A 1000 words paper on thecontrasting machine vision with digital image processing (DIP)
March 7, 2007 HW 3 A 1000 words paper on the medical DIP capability
February 12, 2007 Demo 1 enhancing contrast
March 5, 2007 Demo 2 detecting distinct objects
March 7, 2007 Midterm Efford Chapters 1 - 5
March 11- 18, 2007 Spring break No classes
May 8, 2007 Final Exam Efford's Chapters 8, 9, and 10 + Pratt's Chapters 18 and 19 + Duda's Chapter 2 + Gonzales' Chapter 4 + class lectures

Required Textbook Material:
Nick Efford, Digital Image Processing: A Practical Introduction Using Java (With CD-ROM online), ISBN: 0201596237 (available at the SIUC bookstore). With Dr. Efford's consent, a PDF file is available from instructor.

William K. Pratt, 2007. Digital Image Processing, 4th edition, Wiley Press.

Rafael Gonzales and Richard Woods, 2002. Digital Image Processing (2nd Edition), Prentice Hall

Bill Pratt's Chapter 18 (class use only)

Bill Pratt's Chpater 19 (class use only)