To know the basic components of an image processing system.
To understand how images are represented; including optical images, analog images, and digital images. Understand image types such as binary images, gray-scale images, color and multi-spectral images.
To understand why preprocessing is performed and know about image geometry, convolution masks, image algebra and basic spatial filters.
To understand image quantization in both the spatial and brightness domains.
To understand how discrete transforms work.
To understand lowpass, highpass, bandpass and notch filters.
To know the three categories of image processing applications: enhancement, restoration and compression.
Prerequisite(s)
-
Corequisite(s)
-
Special Requisite(s)
-
Instructor(s)
Assist. Prof. Dr. Ertuğrul Saatçı
Course Assistant(s)
Schedule
Tuesday, 13:00-16:00, ELK Lab. 2
Office Hour(s)
Asst.Prof. Dr. Ertuğrul Saatçı, Tuesday, 10:00-12:00, 2-D-17
Teaching Methods and Techniques
The module will be delivered in a series of lectures, supported by practical sessions and self-directed study on the part of the student. The course is taught by lectures at the rate of 3 hours per week.
A part of the lectures will consist of delivery of the course material using powerpoint.
The lectures will follow a textbook and will contain supporting material for the practical sessions. The practical sessions will consist of a set of experiment using MATLAB programming language.
The lectures will include discussion questions which will be used to stimulate in-class discussion.
Principle Sources
R. C. Gonzalez, R. E. Woods, Digital Image Processing, 4th edition, Pearson, 2017.
A. K. Jain, Fundamentals of Digital İmage Processing, Prentice Hall, Addison-Wesley, 1989.
Other Sources
Course Schedules
Week
Contents
Learning Methods
1. Week
Introduction and Motivation
oral presentation, case study
2. Week
Visual perception, light and EM spectrum, Mathematical model of an image, Image sensing and acquisition
oral presentation, case study
3. Week
Linear Systems, Convolution, Correlation, Impulse Response
oral presentation, case study
4. Week
Fourier transform and its properties, The frequency concept in an image and its frequency spectrum, Sampling of an image, aliasing and conditions on sampling frequency, Construction of an image from sinusoidal plane waves
oral presentation, case study
5. Week
Fourier transform and its properties continued
oral presentation, case study
6. Week
Image Enhancement in the spatial domain: Pixel-Point Operations such as lightening, darkening, changing the contrast (histogram enhancement)
oral presentation, case study
7. Week
Image Enhancement in the spatial domain: Pixel-Group Operations such as convolution operation and related concepts as the convolution mask and the impulse response.
oral presentation, case study
8. Week
Midterm I
oral presentation, case study
9. Week
Image Enhancement in the frequency domain
oral presentation, case study
10. Week
Image Enhancement in the frequency domain continued
To be able to develop and deepen their knowledge in the field of Electrical and Electronics Engineering at an expert level.
PO-2
To be able to use the expert level theoretical and applied knowledge acquired in the field of Electrical and Electronics Engineering
PO-3
To be able to solve the problems encountered in the field of Electrical and Electronics Engineering by using research methods.
PO-4
To be able to carry out a study that requires expertise independently.
PO-5
To be able to critically evaluate the knowledge and skills at the level of expertise and to direct her learnin
PO-6
To be able to use advanced information and communication technologies together with computer software at the level required by the field of Electrical and Electronics Engineering.
PO-7
To be able to critically examine the norms in the field of Electrical and Electronics Engineering, to develop them and to take action to change them when necessary.
PO-8
To be able to systematically transfer the current developments and own studies in the field to groups in and out of the field, in written, oral and visual forms, by supporting them with quantitative and qualitative data.
PO-9
To be able to communicate orally and in writing using a foreign language.
PO-10
To be able to use the knowledge, problem solving and / or application skills they have absorbed in the field of Electrical and Electronics Engineering in interdisciplinary studies.
