CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Digital Image Proccesing EEM530 FALL-SPRING 3+0 E 6
    Learning Outcomes
    1-Identifies the digital image processing workspace
    2-Recognizes different image processing methods such as image enhancement, image segmentation, shape recognition and feature extraction
    3-Evaluates wavelet analysis and multi-resolution processing
    4-Applies image compression method and methods
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14342
    Assignments0000
    Short-Term Exams (exam + preparation) 105840
    Midterm exams (exam + preparation)3011313
    Project2013030
    Laboratory 0000
    Final exam (exam + preparation) 4011313
    Other 0000
    Total Workload (hours)   180
    Total Workload (hours) / 30 (s)     6 ---- (6)
    ECTS Credit   6
  • Course Content
  • Week Topics Study Metarials
    1 Digital Image Processing: Introduction
    2 Gray-level conversions
    3 Definition of Digital Image Processing methods
    4 Image enhancement methods and applications I
    5 Image enhancement methods and applications II
    6 Image segmentation methods and applications I
    7 Image segmentation methods and applications II
    8 Image segmentation methods and applications III
    9 Shape recognition and feature extraction methods and their applications I
    10 Shape recognition and feature extraction methods and their applications II
    11 Wavelet analysis and multi-resolution processing and applications
    12 Image compression methods and applications
    13 Semester project presentations I
    14 Semester project presentations II
    Prerequisites -
    Language of Instruction Turkish
    Responsible Asst. Prof. Dr. Seda Şahin
    Instructors -
    Assistants -
    Resources Gonzalez R. C., Woods R. E., Digital Image Processing, Prentice Hall, 2002. Gonzalez R. C., Woods R. E., Eddins Steven L., Digital Image Processing Using MATLAB, 2/E, Pearson Education, 2009.
    Supplementary Book -
    Goals Solving problems and improving application development ability by using different image processing methods for different applications of Digital Image Processing workspace
    Content Gray-level transformations, Image enhancement methods and applications, shape recognition and feature extraction methods and applications, Wavelet analysis and multi-resolution processing and applications
  • Program Learning Outcomes
  • Program Learning Outcomes Level of Contribution
    1 Acquires information by carrying out scientific research in the field of Electrical and Electronics Engineering, evaluates the findings and makes comments 3
    2 Complements the restricted or incomplete information and applies it, unifies the multidisciplinary information -
    3 Designs and implements a system meeting the requirements in the field of Electrical and Electronics Engineering 4
    4 Makes an interpretation of a problem in the field of Electrical and Electronics Engineering, develops models for solutions and applies innovative methods in these solutions -
    5 Has comprehensive knowledge on the contemporary applied method and techniques used in the field of Electrical and Electronics Engineering and their limitations -
    6 Undertakes and implements analytic, simulation or experimental types of research and has the ability to solve the complex problems encountered there -
    7 Can participate and assume responsibility in multidisciplinary task forces 3
    8 Observes the scientific, professional and ethical rules during data collection, its introduction and interpretation -
    9 Be aware of recent advances and developments in the field of Electrical and Electronics Engineering, learns, analyses and applies them wherever needed -
    10 Publishes his/her research findings verbally and in written forms in national and international arena 2
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