Department of Computer Science and Engineering



CS474/674 Image Processing and Interpretation (Fall 2015)

  • Meets: MW 2:30 pm - 3:45 pm (SEM 257)

  • Instructor: Dr. George Bebis

  • Text: R. Gonzalez and R. Woods Digital Image Processing, 3rd edition, Prentice Hall, 2008. Errata Sheet.

  • Other Texts:


    Prerequisites

    CS202 and MATH/STAT 352. If you do not meet the prerequisite requirements for this course, you should see me immediately.

    Description/Objectives

    Digital image processing is among the fastest growing computer technologies. With increasing computer power, it is now possible to do numerically many tasks that were previously done using analogue techniques. The objective of this course is to provide an introduction to the theory and applications of digital image processing.

    Course Outline (tentative)

    Exams and Assignments

    Grading will be based on several quizzes, two exams, and 4-5 programming assignments. Graduate students will be required to present a paper to the rest of the class. Homework problems will be assigned on a regular basis but will not be collected for grading. Homework solutions will be made available for each assignment.


    Course Policies

    Lecture slides, assignments, and other useful information will be posted on the this web page. Discussion of the of your work is allowed and encouraged. However, each student should do his/her own work. Assignments which are too similar will receive a zero. No late work will be accepted unless there is an extreme emergency. If you are unable to hand in an assignment by the deadline, you must discuss it with me before the deadline. Both exams will be closed books, closed notes. If you are unable to attend an exam you must inform me in advance. No incomplete grades (INC) will be given in this course and a missed exam may be made up only if it was missed due to an extreme emergency. Regular attendance is highly recommended. If you miss a class, you are responsible for all material covered or assigned in class. You should carefully read the section on Academic Dishonesty found in the UNR Student Handbook. Your continued enrollment in this course implies that you have read it, and that you subscribe to the principles stated therein.

    Useful Information


    Handouts



    Lectures



    Homework Assignments



    Programming Assignments


    Presentation Topics

    Presentation Guidelines

    Department of Computer Science and Engineering, University of Nevada, Ren o, NV 89557
    Page created and maintained by: Dr. George Bebis (bebis@cse.unr.edu)