| Course Objectives: |
This is an introductory course to digital image processing. The student will be able to explain the theoretical foundations and modern applications of digital image processing. Students will demonstrate hands-on experience about image processing through extensive simulation assignments. |
| Course Content: |
Image formation, representation, Color science and human visual system, Sampling and Fourier analysis, Intensity transformations, Image Enhancement, Filtering in the frequency domain, Image Restoration, Image Reconstruction from projections, Color Image Processing, Image Segmentation, Hough Transform, Thresholding, Region-based segmentation, Morphological image processing, Image coding, Image compression standards
|
| Week |
Subject |
Related Preparation |
| 1) |
Image formation, representation: Elements of visual perception, light and electromagnetic spectrum, image sensing and acquisition |
|
| 2) |
Color science and human visual system: Color spaces, conversions between color spaces |
|
| 3) |
Sampling and Fourier analysis: Basic concepts of sampling and quantization, representing digital images, image interpolation, an introduction to the tools used in digital image processing |
|
| 4) |
Intensity transformations: Image negatives, log transforms, histogram processing |
|
| 5) |
Image Enhancement: Noise models, Smoothing spatial filters, sharpening spatial filters, combining spatial enhancement methods |
|
| 6) |
Filtering in the frequency domain: Preliminary concepts, sampling, DFT |
|
| 7) |
Filtering in the frequency domain: Extension to Function of two variables, 2D DFT, Image Smoothing and sharpening using frequency domain filters, selective filtering |
|
| 8) |
Filtering, Midterm |
|
| 9) |
Image Restoration: Estimating the degradation function, Inverse Filtering, Wiener Filtering |
|
| 10) |
Image Reconstruction from projections: principles of computed tomography, Radon Transform, Fourier-Slice Theorem |
|
| 11) |
Image Segmentation: Point, Line, Edge Detection (Sobel, Marr-Hildreth, Canny Edge Detection), Hough Transform, Thresholding, Region-based segmentation |
|
| 12) |
Morphological image processing: Erosion, dilation, opening and closing, skeletons, hole fillin |
|
| 13) |
Image coding: Fundamentals of coding, coding redundancy, measuring image information, image compression models, some basic compression methods, Huffman coding, arithmetic coding, run-length coding, DCT, KLT |
|
| 14) |
Image compression standards: JBIG, JPEG, JPEG2000 |
|
| |
Program Outcomes |
Level of Contribution |
| 1) |
Adequate knowledge in mathematics, science and computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
|
3 |
| 2) |
Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
|
3 |
| 3) |
Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
|
|
| 4) |
Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; ability to use information technologies effectively.
|
3 |
| 5) |
Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or computer engineering research topics.
|
|
| 6) |
Ability to work effectively within and multi-disciplinary teams; individual study skills.
|
|
| 7) |
Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
|
|
| 8) |
Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
|
|
| 9) |
To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
|
|
| 10) |
Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
|
|
| 11) |
Knowledge of the effects of engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions.
|
|
BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
