Department of Computer Science and Engineering



CS474/674 Image Processing and Interpretation (Fall 2023)

  • Meets: MW 1:00 pm - 2:15 pm (WPEB 200)

  • Instructor: Dr. George Bebis

  • TA: Aminul Huq

  • Required Text: R. Gonzalez and R. Woods Digital Image Processing, 4th edition, Pearson, 2018. Errata

  • Optional Texts:


    Prerequisites

    CS202 with "C" or better; STAT 352 or STAT 461.

    Digital image processing is among the fastest growing computer technologies. This course will provide an introduction to the theory and applications of digital image processing. In particular, this course will introduce students to the fundamental techniques and algorithms used for processing and extracting useful information from digital images.

    Course Outline (tentative)

    Exams and Assignments

    Grading will be based on quizzes, exams, and programming assignments. Graduate students will also need to present a paper.


    Course Policies

    Lecture slides, assignments, and other useful information will be posted on the course's web page. Quizzes and exams will be closed books, closed notes. If you are unable to take a quiz or exam at the designated date and time, you must inform me in advance. Quizzes and exams cannot be made up unless there is an extreme emergency. Programming assignments need to be submitted on Canvas. Discussion of your work with others 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 your work by the deadline, you must discuss it with me before the deadline. No incomplete grades (INC) will be given on this course and a missed exam may be made up only if it was missed due to an extreme emergency. Students are expected to attend all lectures and be on time. Students who miss a class and/or are late for a class may experience an impact on their grade by missing course activities. If you miss a lecture, you are responsible for all material covered or assigned. The instructor reserves the right to add to, and/or modify any of the above policies as needed to maintain an appropriate and effective educational atmosphere. If this happens, all students will be notified in advance of implementation of the new and/or modified policy.

    Useful Information


    Handouts


    Sample Exams


    Lectures



    Programming Assignments


    Sample Presentation Topics (Graduate Students Only)


    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)