CS/BIOEN 6640 Fall 2012

Image Processing

Guido Gerig (home)

Goal and Objectives:

General Information:

Lecture:        M,W 1.25 - 2.45 WEB L120
Instructor:    Guido Gerig (gerig at sci.utah.edu)
                        Office WEB 4893, office hours M,W 3 - 5pm.
TA:                 Lingbing Jiang (lingbing.jiang at utah.edu)
                       Office MEB 3115, office hours Tue,Thu 3 - 5pm. Please use email for setting up other appointments.

Material:
Digital Image Processing, 3rd Edition , Rafael C. Gonzalez and Richard E. Woods, Prentice Hall, ISBN 013168728X, click here for more
Another good reference text: Digital Image Processing, Kenneth R. Castleman, Prentice Hall
The class will make use of MATLAB for assignments. Students can also make use of C++ for projects but will have to be self-supporting w.r.t. programming.

College of Engineering CADE lab infrastructure and hand-in system for assignments

University of Utah and Computer Science Honor Code

Students are expected to work on their own, as instructed by the Professor. Students may discuss projects with other individuals either in the class or outside the class, but they may not receive code or results electronically from any source that is not documented in their report. Students must write their own code, conduct their own experiments, write their own reports, and take their own tests. Any use of sources (for projects or tests) that are not specifically given to the student by the Professor or TA, must be discussed with the Professor or TA or documented in the report. Any student who is found to be violating this policy will be given a failing grade for the course and will be reported to the authorities as described in the University's Student Code.

• SoC Academic Misconduct  Policy
• Academic Misconduct  Flowchart
• SoC Form to be signed
  

Accommodations Policy
The University of Utah seeks to provide equal access to its programs, services and activities for people with disabilities. If you will need accommodations in the class, reasonable prior notice needs to be given to the Center for Disability Services, 162 Olpin Union Building, 581-5020 (V/TDD). CDS will work with you and the instructor to make arrangements for accommodations. All written information in this course can be made available in alternative format with prior notification to the Center for Disability Services.

Homework
Homework assignments are due at 11:59pm on the given due date. Written assignments should be in
pdf format, while coding assignments should be in the form of a report and additionally be source files. Coding can be done in MATLAB (using only the base package, no toolkits) or C++. The report should clearly identify code developed by the student and eventual pieces of code obtained by external sources.

Grading

Weighted contribution of projects and exams to final grade:

• Projects (5): 55%
• Midterm: 15%
• Final Exam/Project: 20%
• Participation: 10%. (Attendance to lectures is required to be eligible for office hours by the instructor and the TA. Attendance and regular active participation is required to get the participation grade).
• Late policy on projects: 10 point deduction per day, projects will no more accepted after 3 days.
• Final project is required to get a pass grade.
• Relationship of alphanumerical to numerical grades (standard table for US universities):

NEWS AND ANNOUNCEMENTS: Click here

Schedule:

Resources

• Course Materials BoWang and Nishith Tirpankar (Bo pdf, Nishith pdf)
• Matlab-Code and test images for Bo/Nishith's introduction: (1.2 Mb compressed tar file)
  
• Course Materials TA (pdf) and test images: image1, image2, image3
• Course Materials 2nd course by TA (8.3Mb zipped archive)
  

Code: