SIGNAL AND IMAGE PROCESSING

Course Description

Signal and Image Processing course is organised to introduce the fundamentals of digital signal and image processing techniques. The emphasis will be on analysis tools, the design of digital filters, and on the computation of the Discrete Fourier Transform (DFT). The course is designed to give all the fundamental concepts in digital image processing with emphasis in spatial filtering, frequency domain filtering, image enhancement, image restoration, compression, segmentation. Morphological image processing and the introduction to object recognition are the last topics of the course. Included in these topics, the interpolation techniques, frequency domain filtering and image averaging methods for noise removal are important topics covered. The studied methods are experimented using simulator program.

SIGNAL AND IMAGE PROCESSING

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Reference Books & Course Materials

1. 01 Biomedical Signal and Image Processing by Najarian, Kayvan Splinter, Robert (z-lib.org)
2. 02 Digital Signal and Image Processing by Tamal Bose
3. 03 Digital Signal and Image Processing Using MATLAB by Gérard Blanchet, Maurice Charbit
4. 04 Lecture Notes

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

1. Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex 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 as to meet the desired result; ability to apply modern design methods for this purpose.
4. Ability to devise, select, and use modern techniques and tools needed for analysing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
5. Ability to design and conduct experiments, gather data, analyse 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 in Turkish, 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. Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
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 the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

Po-Lo Matrix

The PO-LO matrix has not been populated yet.