Department of Computer Science and Engineering


CS474/674 Image Processing and Interpretation (Fall 2024)

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

  • Instructor: Dr. George Bebis

  • TA:Parvaneh Aliniya

  • 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.

    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.

  • There will be 7 quizzes during the semester which will be announced at least one class period in advance. The lowest quiz grade will be dropped.
  • There will be 2 exams: a midterm and a final. The material covered in the exams will be drawn from the lectures and the quizzes.
  • There will be 4 programming assignments which must be done individually.
  • Graduate students will be required to present a paper to the rest of the class. Each presentation should be 15 minutes long and presented in a professional manner (i.e., slides/projector).

    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 must 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.


    Major IP and CV Journals


    Major IP and CV Conferences


    Read/Write/Display images


    • Other

    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)