FACULTY OF ENGINEERING
GEOMATICS ENGINEERING
Course Name   DIGITAL IMAGE PROCESSING (Technical Elective Course 4)
Semester Course Code Theoretical / Practice time ECTS
7 1205735 2 / 1 3
Course Degree Bachelor's degree
Course Language Turkish
Format of Delivery: Face to Face
Course Coordinator Prof.Dr. Hakan KARABÖRK
Coordinator e-mail hkarabork selcuk.edu.tr
Instructors
Asistant Instructors
Course Objectives The objective of this course is to teach low and intermediate level image processing techniques and their applications in MATLAB software
Basic Sciences Engineering Scinces Social Sciences Educational Sciences Artistic sciences Medical Science Agricultural sciences
40 60 0 0 0 0 0
Course Learning Methods and Techniquies
Teaching in classroom, question-answer, application using computer
Week Course Content Resource
1 Contents, Application Areas, Definitions, History I. Pitas, digital Image Processing Algorithms and Aplications, 2000. M. Suel, Pratical Algorithms for Image Analysis, 2000 W. K. Pratt, Digital Image Processing, John Wiley & Sons, Third edition, 2001.
2 Elements of Digital Image Processing, Digitizers, Image Processor, Display I. Pitas, digital Image Processing Algorithms and Aplications, 2000. M. Suel, Pratical Algorithms for Image Analysis, 2000 W. K. Pratt, Digital Image Processing, John Wiley & Sons, Third edition, 2001.
3 Digital Image Fundamentals, Uniform Sampling I. Pitas, digital Image Processing Algorithms and Aplications, 2000. M. Suel, Pratical Algorithms for Image Analysis, 2000 W. K. Pratt, Digital Image Processing, John Wiley & Sons, Third edition, 2001.
4 Elements of Visual Perception I. Pitas, digital Image Processing Algorithms and Aplications, 2000. M. Suel, Pratical Algorithms for Image Analysis, 2000 W. K. Pratt, Digital Image Processing, John Wiley & Sons, Third edition, 2001.
5 Gray-level Histogram I. Pitas, digital Image Processing Algorithms and Aplications, 2000. M. Suel, Pratical Algorithms for Image Analysis, 2000 W. K. Pratt, Digital Image Processing, John Wiley & Sons, Third edition, 2001.
6 Image Enhancement, Image Brightness Modification, Threshold I. Pitas, digital Image Processing Algorithms and Aplications, 2000. M. Suel, Pratical Algorithms for Image Analysis, 2000 W. K. Pratt, Digital Image Processing, John Wiley & Sons, Third edition, 2001.
7 Contrast Enhancement, Linear Contrast Enhancement I. Pitas, digital Image Processing Algorithms and Aplications, 2000. M. Suel, Pratical Algorithms for Image Analysis, 2000 W. K. Pratt, Digital Image Processing, John Wiley & Sons, Third edition, 2001.
8 Non-linear Enhancement I. Pitas, digital Image Processing Algorithms and Aplications, 2000. M. Suel, Pratical Algorithms for Image Analysis, 2000 W. K. Pratt, Digital Image Processing, John Wiley & Sons, Third edition, 2001.
9 Spatial Filtering I. Pitas, digital Image Processing Algorithms and Aplications, 2000. M. Suel, Pratical Algorithms for Image Analysis, 2000 W. K. Pratt, Digital Image Processing, John Wiley & Sons, Third edition, 2001.
10 Midterm Exam
11 Low Frequency Filters, High Frequency Filters I. Pitas, digital Image Processing Algorithms and Aplications, 2000. M. Suel, Pratical Algorithms for Image Analysis, 2000 W. K. Pratt, Digital Image Processing, John Wiley & Sons, Third edition, 2001.
12 Different edge detection methods I. Pitas, digital Image Processing Algorithms and Aplications, 2000. M. Suel, Pratical Algorithms for Image Analysis, 2000 W. K. Pratt, Digital Image Processing, John Wiley & Sons, Third edition, 2001.
13 Noise Suppression I. Pitas, digital Image Processing Algorithms and Aplications, 2000. M. Suel, Pratical Algorithms for Image Analysis, 2000 W. K. Pratt, Digital Image Processing, John Wiley & Sons, Third edition, 2001.
14 Image Segmentation I. Pitas, digital Image Processing Algorithms and Aplications, 2000. M. Suel, Pratical Algorithms for Image Analysis, 2000 W. K. Pratt, Digital Image Processing, John Wiley & Sons, Third edition, 2001.
15 Morphological Operations I. Pitas, digital Image Processing Algorithms and Aplications, 2000. M. Suel, Pratical Algorithms for Image Analysis, 2000 W. K. Pratt, Digital Image Processing, John Wiley & Sons, Third edition, 2001.
Assesment Criteria   Mid-term exam Final exam
  Quantity Percentage Quantity Percentage  
Term Studies : - - - -
Attendance / Participation : - - - -
Practical Exam : - - - -
Special Course Exam : - - - -
Quiz : - - - -
Homework : - - - -
Presentations and Seminars : - - - -
Projects : - - - -
Workshop / Laboratory Applications : - - - -
Case studies : - - - -
Field Studies : - - - -
Clinical Studies : - - - -
Other Studies : - - - -
Mid-term exam   1 40 - -
Final exam   - - 1 60
ECTS WORK LOAD TABLE   Number Duration
Course Duration : 14 3
Classroom Work Time : 14 2
Presentations and Seminars : - -
Course Internship : - -
Workshop / Laboratory Applications : - -
Field Studies : - -
Case studies : - -
Projects : - -
Homework : - -
Quiz : - -
Mid-term exam : 1 10
Final Exam : 1 10
ECTS 3
No COURSE LEARNING OUTCOMES CONTRIBUTION
D.Ö.Ç. 1 Able to describe the basics of image processing 4
D.Ö.Ç. 2 Able to comprehend the techniques of image pre-processing and to apply by Matlab software 4
D.Ö.Ç. 3 Able to comprehend the techniques of image segmentation and to apply by Matlab software 3
D.Ö.Ç. 4 Able to comprehend the techniques of morphological operations in image processing and to apply by Matlab software 3
D.Ö.Ç. 5 Able to examine the field of image processing applications 3
* 1: Zayıf - 2: Orta - 3: İyi - 4: Çok İyi
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