EECS 490: Digital Image Processing

Fall 2006, Prof. Frank Merat

General Information

Class Lectures: TR 4:30-5:45pm, White 324

Course Instructor: Frank Merat, flm at po.cwru.edu, Glennan 518, x4572

Instructor's Office Hours:

• Friday 1:15-2:30 pm except when I am meeting with visiting prospective students
• Other times by appt. I am typically available most days before lunch and early afternoons.

 

Required Text

• Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing, 2nd Edition. Prentice-Hall, 2001. ISBN:0-20-118075-8.
  Buy it for $132 (new) from www.bn.com: Digital Image Processing
  Buy it for $104.12 (new) from www.amazon.com: Digital Image Processing

Syllabus

• Syllabus (DOC, 32k) There will be more emphasis on class projects and less emphasis on homework this semester.

Homework

I will typically pass out hw solutions in class.

Computer Assignments

Computer projects.

Mid-term and Final Projects

In lieu of a mid-term and final exam you will berequired to do two computer projects. In general, your projects will be chosen from those in the following list (coming shortly). If you have an idea for another project please discuss it with me and I may accept it for one of the listed projects. The mid-term project is due November 7th ; the final project is due December 16th. Details on the format of your reports is provided below.

Report format (Mid-term and Final Projects only)

• CALL FOR PAPERS. To provide practice in writing papers these project reports will be modeled after a typical conference paper:
  • Full Paper -- The final paper is due one week after the last class. This paper must be no longer than six typed pages, including figures. See the grading policy for guidelines on how the content of the paper will be assessed. A dual column format similar to IEEE conference papers is encouraged. Download a conference paper in .doc format (919 kB) which was presented at IEEE Sensors 2003 in Toronto. You may use it as a template for formatting your report.
  • Submission procedure -- Papers should be submitted to me electronically by e-mail. There should be no problem with file size as university e-mail can now handle 50 MB attachments. The document submitted must be in Word doc format (preferred) or PDF.
    
• GRADING POLICY. The ultimate goal of the paper is to demonstrate to me that you have learned something from the course. However, most technical papers are peer reviewed by known experts in the field who will rank the paper according to different criteria including originality and technical contribution. In the spirit of this process I will review your paper and assign two letter ranks* using the following criteria.
  • Content -- this will be 70% of the total paper grade
    Abstract
    Key words which can be used to electronically search for your paper
    Introduction. This is usually a description of the problem.
    A description of what you did. This can be broken down into several sections and is where your results should be included.
    A short summary of what you did and how well it worked.
    References. You should properly use references and footnotes. Failure to do so will result in loss of points.
    Any acknowledgements.
  • Style -- this will be 30% of the total paper grade
    Clear, concise text
    Appropriate figures, charts, tables
    Spelling and grammar.
    * Letter ranks will be translated into numerical grades using the following equivalences.
    
    

    A+	100%	B+	88%	C+	78%
    A	95%	B	85%	C	75%
    A-	90%	B-	80%	C-	70%

  
  

Student Papers

A partial set of the mid-term papers for Fall 2006 is now available for downloading. (PDF, 6.2 MB) [NOTE: Password required to open file]

A partial set of the final papers for Fall 2006 is now available for downloading. (PDF, 16.5 MB) [NOTE: A different password is required to open this file - It was sent to those students who turned in their papers and received paper reviews/grades.]

Resources

• There is an extensive Gonzalez and Woods Digital Image Processing, 2/e Web site which contains all the artwork and images found in the textbook, some homework solutions, and a lot of other useful stuff to accompany the text.

MATLAB

The course will make extensive use of MATLAB and the Image Processing Toolbox.

• Gonzalez and Woods have teamed up with Eddins from the Mathworks to write Digital Image Processing Using MATLAB which is very similar to our 2/e textbook and has additional MATLAB material but no homework.
• Mathworks has a very good set of Image Processing Toolbox demos along with the source code.
• There is a pretty good list of MATLAB tutorials at this Web site.
• Sandberg at UC Boulder has written an Introduction to the MATLAB Image Processing Toolbox.
• Check out Prof. Branicky's EECS 246 Signals and Systems website for more MATLAB tutorials.
• It never hurts to check out Mathworks' Image Processing Toolbox website for MATLAB help, files, etc. They also have many examples of code which you may find useful.
• Mathworks has a forum for the exchange of several thousand MATLAB routines you may find useful. There are at least 150 image processing functions available for downloading.
• Peter Kovesi has a really interesting Web site containing many useful image processing and computer vision functions implemented in MATLAB.
• Mathworks maintains a page of links to MATLAB related image processing sites.

POWER POINT PRESENTATIONS

Several of you have expressed a desire for a more convenient local copy of the author's power point presentations.

• Chapter 1 describes imaging and shows a sample of the images one can work with. (PPT, 5.02 MB)
• Chapter 2 presents some fundamentals of digital images such as gray levels, spatial resolution, and connectivity. (PPT, 2.53 MB)
• Chapter 3 describes gray level transformations, histogram equalization, and spatial filtering including low-pass, gradient, Laplacian. (PPT, 6.45 MB) UPDATED 9/10 with my MATLAB slides.
• Chapter 4 describes Fourier domain image processing techniques. (PPT, 4.27 MB) UPDATED 9/10 with my MATLAB slides.
• Chapter 5 describes image reconstruction techniques including Wiener filters. (PPT, 6.80 MB)
• Chapter 6 describes color representation and color image processing. (PPT, 8.54 MB)
• Matrices and eigenvectors reviews basic matrices and vectors, vectors spaces and basis vectors, and eigenvalues and eigenvectors. The Hotelling transformation is then used to analyze image regions and boundaries (Section 11.4 of GW). (PPT, 1.3 MB)
• Chapter 7 presents basic wavelets and their application to image processing. (PPT, 3.68 MB)

Images for various assignments

Lecture Notes/Other Course Material

PPT notes with my lecture notes.

• Chapter 3 (PDF, 3.76 MB)
• Chapter 4 (PDF, 2.47 MB)
• Chapter 5 (PDF, 3.22 MB)
• Chapter 5 Updated 10/23 (PDF, 3.42 MB)
• Chapter 6 B/W (PDF, 2.40 MB)
• Chapter 6 Gray (PDF, 3.54 MB)
• Chapter 6 Color (PDF, 8.27 MB)
• Chapter 7 (PDF, 2.85 MB)
• Chapter 9 (PDF, 1.78 MB)
• Chapter 10 (PDF, 1.40 MB)
• Chapter 13 Castleman (PDF, 860 kB)
• Linear Algebra & Eigenvectors from various sources (PDF, 2.3 MB)

Other Resources

• EEAP 431Digital Image Processing as I taught it in Spring 1996 using Castleman's Digital Image Processing.
• EEAP 431Digital Image Processing as I taught it in Spring 1997 using Gonzalez and Woods, Digital Image Processing, 1/e.
• EECS 490Digital Image Processing as I taught it in Fall 2004 using Gonzalez and Woods, Digital Image Processing, 2/e.
• The Image Processing Handbook, 4th Edition by John C. Russ is an excellent guide to what you can do with image processing. The book contains hundreds of illustrated examples. Many of the algorithms demonstrated in the book are available on a fairly expensive [$249.95] CD-ROM from Reindeer Graphics. They are implemented as Photoshop® plug-in's .
• Generate your own color cube. Check out this program for printing your own color cube. [Some assembly with scissors and glue is required.]
  

Software Resources

• The public-domain GNU Image Processing Program is available for most operating systems and provides many of the capabilities of Photoshop.
• NIH Image is an old program for the Mac which was originally designed the analyze biological images on microscope slides. It has been replaced by the Java-based ImageJ
• If you need to translate an image file from one format to another Graphic Converter will read 190 different image file formats and save them as one of 79 different file formats.
• Generate your own color cube. Check out this program for printing your own color cube. [Some assembly with scissors and glue is required.]
  

Other Course References TEST3