Civil Engineering (English) | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | CENG376 | ||||||||
Course Name: | Image Processing | ||||||||
Course Semester: | Fall | ||||||||
Course Credits: |
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Language of instruction: | EN | ||||||||
Course Requisites: | |||||||||
Does the Course Require Work Experience?: | No | ||||||||
Type of course: | Compulsory | ||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Prof. Dr. BEKİR TEVFİK AKGÜN | ||||||||
Course Lecturer(s): |
Öğr.Gör. KÜBRA CENGİZ |
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Course Assistants: |
Course Objectives: | The aim of this course is to teach students the theoretical foundations of digital image processing and to introduce their modern applications. |
Course Content: | Understanding the basic components of an image processing system. How images are represented; Understanding including optical images, analog and digital images. Understanding image types such as dual image, gray scale image, color image, and multi-spectrum image. Understanding why preprocessing is done; having information about image geometry, convolution masks, image algebra and basic spatial filters. Understanding image quantization in both spatial and brightness domains. Understanding how discrete transforms work. Understanding low pass, high pass, band pass and notch filters. Understanding the three categories of image processing applications: improvement, repair and compression. |
The students who have succeeded in this course;
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Week | Subject | Related Preparation |
1) | Introduction and Motivation | None |
2) | Visual perception, Light and Electromagnetic spectrum, Math model of image, Image perception and acquisition | Course notes |
3) | Linear systems, Convolution, Correlation, Impulse response | Course notes |
4) | Fourier transform and its properties, Concept of frequency in the image and frequency spectrum of the image, Sampling of the image, conditions on the overlap and sampling frequency, Creation of the image from sinusoidal planar waves | Course notes |
5) | Fourier transform and its properties | Course Notes |
6) | Image enhancement in spatial domain: Pixel-point operations such as lighting, dimming and contrast modification (histogram stretching, equalization, indication etc.) | Course notes |
7) | Image enhancement in spatial domain: Pixel-group operations such as convolution, convolution mask-related operations | Course notes |
8) | Midterm | None |
9) | Image improvement in frequency domain | Course Notes |
10) | Image enhancement in frequency domain | Course notes |
11) | Edging (Prewitt, Roberts, Sobel, Laplacian, Canny, Hoteling) | Course notes |
12) | Morphological operations | Course notes |
13) | Color image processing | Course notes |
14) | Color image processing | Course notes |
15) | Final Exam | None |
Course Notes / Textbooks: | R. C. Gonzalez, R. E. Woods, Digital Image Processing, 4th edition, Pearson, 2017. |
References: | A. K. Jain, Fundamentals of Digital İmage Processing, Prentice Hall, Addison-Wesley, 1989. |
Learning Outcomes | 1 |
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Program Outcomes | ||||||||||
1) Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems. | ||||||||||
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose. | ||||||||||
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.) | ||||||||||
4) Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. | ||||||||||
5) Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. | ||||||||||
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | ||||||||||
7) Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. | ||||||||||
8) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | ||||||||||
9) Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices. | ||||||||||
10) Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development. | ||||||||||
11) Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions. |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems. | |
2) | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose. | |
3) | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.) | |
4) | Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. | |
5) | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. | |
6) | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | |
7) | Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. | |
8) | Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | |
9) | Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices. | |
10) | Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development. | |
11) | Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions. |
Expression | |
Brainstorming/ Six tihnking hats | |
Individual study and homework | |
Lesson | |
Reading | |
Project preparation | |
Q&A / Discussion | |
Case Study |
Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing) | |
Individual Project |
Semester Requirements | Number of Activities | Level of Contribution |
Project | 1 | % 20 |
Midterms | 1 | % 30 |
Final | 1 | % 50 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 50 | |
PERCENTAGE OF FINAL WORK | % 50 | |
total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Project | 1 | 40 | 40 |
Midterms | 1 | 50 | 50 |
Final | 1 | 70 | 70 |
Total Workload | 202 |