ENERGY SYSTEMS ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
EEE5541 | Introduction to Digital Image and Video Processing | Spring Fall |
3 | 0 | 3 | 12 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Dr. Öğr. Üyesi ZAFER İŞCAN |
Recommended Optional Program Components: | None |
Course Objectives: | This is an introductory course on digital image and video processing designed for graduate students and senior level undergraduate students. The objectives of the course are as follows: To introduce the student to theoretical foundations in Digital Image and Video Processing; to introduce the student to modern applications in Digital Image and Video Processing; to give students a hands-on experience about image and video processing using extensive simulation assignments (mostly using MATLAB); to give students an ability to solve complex engineering problems, that require image and video processing. |
The students who have succeeded in this course; 1.Discuss the main processes and problems of image and video formation and reproduction 2.Describe image and video sampling and quantization. 3.Apply functions Image Processing Toolbox in MATLAB to image and video processing problems. 4.Define and compute apply geometric transformations on images. 5.Describe and apply gray level transformations and frequency domain filtering on images and video. 6.Discuss and apply image restoration, morphological image processing, and image segmentation 7.Apply basic image compression and feature extraction approaches. 8.Describe video sampling rate and standards conversion 9.Explain motion estimation, and video enhancement methods. |
Introduction and overview; Human Visual System, Image Formation; Image Processing Basics; MATLAB Basics; Image Processing Toolbox; Image Sensing and Acquisition; Arithmetic and Logic Operators; Geometric Operators; Gray-level Transformations; Histogram Processing; Neighborhood Processing; Frequency Domain Filtering; Image Restoration; Morphological Image Processing; Edge Detection; Image Segmentation; Color Image Processing; Image Compression and Coding; Feature Extraction and Representation, Visual Pattern Recognition; Video Fundamentals, Video Standards, Video Standards Conversion, Motion Estimation and video enhancement |
Week | Subject | Related Preparation |
1) | Introduction and overview, Human Visual System, Image Formation | |
2) | Image Processing Basics, MATLAB Basics | |
3) | MATLAB Image Processing Toolbox, Image Sensing and Acquisition | |
5) | Gray-level Transformations, Histogram Processing | |
7) | Edge Detection, Image Segmentation | |
8) | Image Segmentation, Midterm Exam | |
9) | Image Restoration, Morphological Image Processing | |
10) | Color Image Processing | |
11) | Image Compression and Coding | |
12) | Feature Extraction and Representation, Visual Pattern Recognition | |
13) | Video Fundamentals, Video Standards, Video Standards Conversion | |
14) | Motion Estimation and video enhancement |
Course Notes / Textbooks: | Practical Image and Video Processing Using MATLAB, Oge Marques, Wiley, 2011, ISBN: 978111093467. |
References: | Video Processing and Communications, by Yao Wang, Joern Ostermann, and Ya-Qin Zhang, Prentice Hall, 2002, ISBN 0-13-017547-1. Digital Video Processing, by M. Tekalp, Prentice Hall, 1995, ISBN 0-13-190075-7. |
Semester Requirements | Number of Activities | Level of Contribution |
Homework Assignments | 4 | % 20 |
Project | 1 | % 20 |
Midterms | 1 | % 20 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 40 | |
PERCENTAGE OF FINAL WORK | % 60 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Study Hours Out of Class | 14 | 5 | 70 |
Project | 1 | 14 | 14 |
Homework Assignments | 4 | 20 | 80 |
Midterms | 1 | 3 | 3 |
Final | 1 | 3 | 3 |
Total Workload | 212 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Build up a body of knowledge in mathematics, science and Energy Systems Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. | |
2) | Ability to identify, formulate, and solve complex Energy Systems Engineering problems; select and apply proper modeling and analysis methods for this purpose. | |
3) | Ability to design complex Energy systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. | |
4) | Ability to devise, select, and use modern techniques and tools needed for solving complex problems in Energy Systems Engineering practice; employ information technologies effectively. | |
5) | Ability to design and conduct numerical or pysical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Energy Systems Engineering. | |
6) | Ability to cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Energy Systems-related problems | |
7) | Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, give and receive clear and understandable instructions. | |
8) | Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself. | |
9) | Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Energy Systems Engineering applications. | |
10) | Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. | |
11) | Acquire knowledge about the effects of practices of Energys Systems Engineering on health, environment, security in universal and social scope, and the contemporary problems of Energys Systems engineering; is aware of the legal consequences of Energys Systems engineering solutions. |