course-details-portlet

IDATG2206 - Computer Vision

About

Examination arrangement

Examination arrangement: Oral exam
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Oral exam 100/100 45 minutes E

Course content

This course IDATG2206 provides an introduction to the fundamental concepts and techniques of image processing and computer vision, a rapidly growing field that enables computers to interpret and understand the visual world. Students will gain a comprehensive understanding of image formation, image processing, feature extraction, image compression, different application areas of computer vision. The course will also enable the students to explore and understand real-world applications of computer vision in various domains.

  • Image formation and low level processing
  • Image acquisition
  • Camera and optics
  • Light and color
  • Color imaging
  • Image filtering
  • Morphological image processing
  • Image enhancement and restoration
  • Feature detection and matching
  • Image segmentation
  • Image registration
  • Image and video compression
  • Image quality
  • Introduction to spectral imaging, basic workflow and processing
  • Introduction to machine learning applications.
  • Application areas of computer vision

The above mentions topics will be covered through lectures, lab sessions, assignments, and projects.

Learning outcome

Knowledge:

On successful completion of this course, students should have the knowledge to:

  • Understand basic concepts, terminology, theories, and methods in the field of image processing and computer vision
  • Describe basic methods of computer vision. -assess which methods to use for solving a given problem, and analyze the accuracy of the methods in image processing and computer vision.

Skills:

Upon completion of the course, the students will acquire skills to:

  • Develop and apply image processing, computer vision techniques for solving practical problems - choose appropriate image processing methods for image filtering, image restoration, image reconstruction, segmentation, classification and representation.
  • Able to design and implement algorithms for computer vision applications in different application areas

General competence:

  • Apply knowledge and skills to new areas to understand and conduct complex tasks and projects.
  • Analysis relevant professional and research problems.

Learning methods and activities

  • Lectures
  • Project
  • Assignments
  • Lab exercises

Compulsory assignments

  • Oblig

Further on evaluation

Mandatory assignments and projects have to be completed in order to be eligible to appear for the main exam.

Submission of project report is mandatory.

Deadlines for assignments and project will be announced during the beginning of the semester

The final assessment will be based on an oral exam.

There will be a re-sit exam in August/September. Re-sit exam can be in the form of written or oral.

A project needs to be resubmitted next time the course is run.

Specific conditions

Admission to a programme of study is required:
Computer Science - Engineering (BIDATA)
Programming (BPROG)

Course materials

Book:

  • Digital Image Processing by Rafael C. Gonzalez and Richard Eugene Woods
  • Digital Image Processing Using MATLAB (DIPUM), by Rafael C. Gonzalez, Richard E. Woods, and Steven L. Eddins, Pearson (2018).

Lecture notes and other supplementary material relevant to the course will be provided

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Intermediate course, level II

Coursework

Term no.: 1
Teaching semester:  SPRING 2025

Language of instruction: English

Location: Gjøvik

Subject area(s)
  • Engineering
Contact information
Course coordinator:

Department with academic responsibility
Department of Computer Science

Timetable

List view
Calendar view

Examination

Examination arrangement: Oral exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD Oral exam 100/100 E
Room Building Number of candidates
Summer UTS Oral exam 100/100 E
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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