CNG466 FUNDAMENTAL IMAGE PROCESSING TECHNIQUES

Course Code:3550466
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:6.0
Department:Computer Engineering
Language of Instruction:English
Level of Study:Undergraduate
Course Coordinator:Assist.Prof.Dr MERYEM ERBİLEK
Offered Semester:Fall Semesters.

Course Objectives

Having successfully completed this course, the student will be able to:

  • Apply Linear Algebra and Probability Theory on Image Processing algorithms
  • Understand key methods and in Image Processing
  • Understand main problems in Image Processing in various application areas 
  • Understand the main concepts used in Image Processing
  • Design and implement algorithms to solve Image Processing problems.

Course Content

For course details, see https://catalog2.metu.edu.tr.

Course Learning Outcomes

Satisfies the following student outcomes (SOs) via the following Performance Indicators:

  • PI-a5 – SO-1
    • Apply linear algebra to model and solve computational problems.
  • PI-b1 – SO-1-6
    • Recognize the statistical properties of collected data.
  • PI-i2 – SO-7
    • Explore topics not covered in lectures.
  • PI-k5 – SO-1-2-6
    • Use some special purpose languages and tools, such as those for mathematical programming, simulation, statistical analysis and hardware description.