Time & place: TBD, 1st meeting Monday Sept 10 11-12.30am, Image-analysis teaching lab, Level 0 West Ridge Res. Bldg. (WRRB 004)
Instructor: Hajo Eicken, Geophysical Institute, UAF
e-mail: hajo.eicken@gi.alaska.edu
Phone: 474-7280
Office: WRRB 104E(office hours: ad-hoc/by appointment)

Grading criteria:
Term project: 30 %
Homework: 55 %
Quizzes: 15 %

Term project:
A term project, to be completed by the end of the semester, will be aimed at applying skills and expertise acquired during the course to a specific scientific or engineering problem. Students are highly encouraged to define a project of their own (e.g., originating from thesis-related research), but a number of project suggestions (incl. data, samples etc.) will also be offered by the instructor.

Image processing program resources:
• IDL and Envi as available through licenses for teaching lab
• NIH Image (for either Mac or PC) plus spin-offs are available for project work (program and documentation available at http://rsb.info.nih.gov/nih-image/)
• access to other image-processing programs available on request

Selection of textbooks and primary references:

• Castleman K. R. (1996) Digital image processing, Prentice Hall, Upper Saddle River, NJ. (thorough treatment, extensive coverage of frequency-domain transforms and pattern recognition; $100)
• *Gonzalez R. C., and P. Wintz (1987) Digital image processing, 2nd ed., Addison-Wesley, Reading, MA. (solid treatment, 3rd edition by Gonzalez and Woods appeared in 1992; $95)
• *Jähne B. (2005) Digital image processing - Concepts, algorithms, and scientific applications, 6th ed., Springer-Verlag, Berlin. (thorough treatment, extensive coverage of motion and space-time image analysis; $80)
• *Jain A. K. (1989) Fundamentals of digital image processing, Prentice Hall, Englewood Cliffs, NJ. (thorough treatment focussing on signal processing, with particular coverage of image filtering, restoration and representation; $90)
• *Jong, S. M. de (2004) Remote sensing image analysis: Including the spatial domain, Kluwer Academic, Dordrecht. ($95)
• *Rosenfeld A., and A. C. Kak (1982) Digital picture processing, vols. 1 and 2, Academic Press, Orlando. (thorough, classic text)
• *Russ J. C. (1991) Computer-assisted microscopy - The measurement and analysis of images, Plenum Press, New York. (basic treatment with focus on microscopic techniques, stereology and 3-D reconstruction)
• *Russ J. C. (2006) The image processing handbook, 5th ed., CRC Press, Boca Raton, FL. (mostly non-mathematical, visually oriented text with numerous examples grouped into problem areas; $130)
• *Schowengerdt R. A. (1997) Remote sensing - Models and methods for image processing, 2nd ed., Academic Press, San Diego. (solid, thorough text for remote-sensing aspects, with very good coverage of spectral transforms and classification; $75)
• Serra J. P. (1982) Image analysis and mathematical morphology, Academic Press, London. (classic text, a must for the non-linear filtering aficionado, not necessarily required reading for the casual passer-by; summary of concepts of mathematical morphology can be found in more recent textbooks, e.g., Castleman, 1996, or Russ, 1998, for numerous examples)

* books marked with an asterisk (may not be most recent edition, however) will be put on hold for the duration of the semester in the Keith Mather Library (Geophysical Institute & IARC); others are available at Rasmuson Library or with the instructor

N.B.: Comments in parentheses are highly subjective and merely meant to provide some guidance as to the contents and depth; prices quoted are approximate.

Special needs. Students with learning or other disabilities who may need classroom accommodations are encouraged to visit the Disabilities website at http://www.uaf.edu/chc/disability.html and make an appointment with the Office of Disability Services (474-7043). Please meet with the instructor so that the appropriate accommodations and supports to assist in meeting the goals of the course can be made in collaboration with the Office of Disability Services.

UAF Honor Code. As a UAF student, you are subject to the student Code of Conduct. The university assumes that the integrity of each student and of the student body as a whole will be upheld. It is your responsibility to help maintain the integrity of the student community. For additional information, contact the Dean of Student Services or web http://www.alaska.edu/bor/regulation/9r/r09-02.html/ or refer to the student handbook printed in the back of the class schedule for each semester.