Ders Planı

ISTANBUL AYDIN UNIVERSITY

CLASS 1

CLASS 2

CLASS 3

CLASS 4

Lesson plan / IMAGE PROCESSING

Lesson Information

Course Credit	3.0
Course ECTS Credit	5.0
Teaching Language of Instruction	Türkçe
Level of Course	Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course	Programme Elective
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?	S
Course Coordinator
Instructor (s)	Assist. Prof. Dr. REŞİT ERÇETİN
Course Assistant

Purpose and Content

The aim of the course	1 and 2-dimensional signal processing. Introduction of image processing techniques. Made of artificial intelligence applications. On the provision of real data of practical applications in engineering sciences
Course Content	Basic image processing. Develop practical software applications for such as the sciences; biomedical, medical, electronic, computer software. Practice-oriented applications. Data transmission

Learning Outcomes

Adequate knowledge in mathematics, physical sciences and subjects to mechatronics engineering; the ability to implement theoretical and practical knowledge in the respective areas in complex engineering problems.
Ability to identify, define, formulate and solve complex engineering problems; ability to select and implement the appropriate analysis and modeling methods in this respect.
Ability to design a complex system, process, device or product to meet specific requirements under realistic restrictions and conditions; ability to implement the modern design methods for this purpose.
Ability to design and conduct experiments for analysing engineering problem sor research subjects spesific to the mechatronics engineering, to collect data, to analyse and interpret the results.
Ability to work in the areas of controll, electronics, mechanics and computer systems; Adequate knowledge ability in analysing and designing of complex electro mechanic devices, hardware and software containing systems in which interact with dynamic systems.
Knowledge of applications in business life such as project management, risk management and change management; awareness about entrepreneurship, innovativeness and sustainable development.
Ability to use, choose and develop modern techniques and means required for analysing and solving complex problems encountered in the mechatronics engineering applications; ability to effectively utilize information technologies.
Ability to work effectively in intra-disciplinary and multi-disciplinary teams; ability to work individually.
Awareness of the necessity of lifelong learning; ability to reach information, follow the latest developments in science and technology; ability to ensure self-renewal perpetually.
Ability to communicate efficiently both in oral and written ways in Turkish; knowledge of at least one foreign language; ability to effectively prepare reports and understand written reports, prepare design and production reports, effective presentation; giving and recieving clear and understandable instructions.
Knowledge on the effects of mechatronics engineering applications on health, environment and safety in universal and social context and information about the engineering problems of the era; awareness on the legal implications of engineering solutions.
Knowledge of physics based on the calculus, knowledge of calculus containing multi variable calculus, derivative equations, derivatition and integrative calculations and complex variables; awareness on the subjects of statistics, optimisation and linear algebra; knowledge on the sensor technologies, computational and engineering sciences.
Acting in line with ethical principles, sense of professional and ethical responsibility; knowledge on the standards of engineering applications.

Weekly Course Subjects

1	Images and pictures Image Acquisition and sampling Images and digital, Types of digital images Image File Sizes, Image perception
2	Greyscale images, RGB Images, Indexed colour images Data types and conversions Basics of image display Bit planes, Spatial Resolution
3	Point Processing Introduction Arithmetic operations Histograms Lookup tables
4	Neighborhood Processing Introduction, Notation Frequencies; low and high pass filters Edge sharpening Non-linear filters
5	The one-dimensional discrete Fourier transform The two-dimensional DFT
6	Fourier transforms of images Filtering in the frequency domain
7	Cleaning salt and pepper noise Cleaning Gaussian noise Removal of periodic noise
8	midterm exam
9	Inverse filtering Wiener filtering
10	Image Segmentation Thresholding Applications of thresholding Adaptive thresholding
11	Edge detection Derivatives and edges Second derivatives The Hough transform
12	Colour processing What is colour? Colour models Pseudocolouring Processing of colour images
13	Image coding and compression Lossless and lossy compression Huffman coding Run length encoding
14	review

Resources

1-Gonzales&Woods, Digital Image processing, Prentice Hall

EUA Kurumsal Öz değerlendirme Programı İzleme Raporu