Digital Image Processing

Објавено: June 28, 2022
1. Course Title Digital Image Processing
2. Code 4ФЕИТ05З012
3. Study program КХИЕ
4. Organizer of the study program (unit, institute, department) Faculty of Electrical Engineering and Information Technologies
5. Degree (first, second, third cycle) First cycle
6. Academic year/semester IV/7 7. Number of ECTS credits 6
8. Lecturer D-r Zoran Ivanovski
9. Course Prerequisites Passed: Signals and Systems
10. Course Goals (acquired competencies): The course will enable the students to understand the basics of digital image processing and mathematical methods and tools it is based on, to test and examine practical implementations of various algorithms and to evaluate their advantages and disadvantages. By following the course the student will be able to solve various problems in the field of image processing by using and developing appropriate tools.
11. Course Syllabus: Basics of image processing. Image enhancement in spatial domain. Spatial filtering. Image enhancement in transform domain. Image restoration. Color image processing. Edge detection. Morphological image processing. Image segmentation. Representation and description. Image analysis.
12. Learning methods: Combined teaching method: lecturing, tutorials and lab exercises, supported by presentations and visualization of concepts, active participation of students through tests, assignments and projects.
13. Total number of course hours 3 + 1 + 1 + 0
14. Distribution of course hours 180
15. Forms of teaching 15.1. Lectures-theoretical teaching 45
15.2. Exercises (laboratory, practice classes), seminars, teamwork 30
16. Other course activities 16.1. Projects, seminar papers 30
16.2. Individual tasks 0
16.3. Homework and self-learning 75
17. Grading 17.1. Exams 10
17.2. Seminar work/project (presentation: written and oral) 20
17.3. Activity and participation 0
17.4. Final exam 70
18. Grading criteria (points) up to 50 points 5 (five) (F)
from 51to 60 points 6 (six) (E)
from 61to 70 points 7 (seven) (D)
from 71to 80 points 8 (eight) (C)
from 81to 90 points 9 (nine) (B)
from 91to 100 points 10 (ten) (A)
19. Conditions for acquiring teacher’s signature and for taking final exam Lectures and tutorials attendance and successful completion of lab exercises.
20. Forms of assessment During the semester, tests from laboratory exercises are provided (after the completion of each of the exercises). The student should also prepare a project assignment and submit it no later than the final exam. The final oral exam (duration 60 minutes) is taken in the planned exam sessions. The final grade includes the points from the tests from the laboratory exercises, the project task and the final oral exam.
21. Language Macedonian and English
22. Method of monitoring of teaching quality Internal evaluation and surveys.
23. Literature
23.1. Required Literature
No. Author Title Publisher Year
1 R. C. Gonzalez and R. E. Woods Digital Image Processing Pearson Education Inc. 2018
23.2. Additional Literature
No. Author Title Publisher Year
1 A. K. Jain Fundamentals of Digital Image Processing Prentice Hall 1989