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
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Week |
Subject |
Related Preparation |
| 1) |
Image formation, representation: Elements of visual perception, light and electromagnetic spectrum, image sensing and acquisition |
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| 2) |
Color science and human visual system: Color spaces, conversions between color spaces |
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| 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 |
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| 4) |
Intensity transformations: Image negatives, log transforms, histogram processing |
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| 5) |
Image Enhancement: Noise models, Smoothing spatial filters, sharpening spatial filters, combining spatial enhancement methods |
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| 6) |
Filtering in the frequency domain: Preliminary concepts, sampling, DFT |
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| 7) |
Filtering in the frequency domain: Extension to Function of two variables, 2D DFT, Image Smoothing and sharpening using frequency domain filters, selective filtering |
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| 8) |
Filtering, Midterm |
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| 9) |
Image Restoration: Estimating the degradation function, Inverse Filtering, Wiener Filtering |
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| 10) |
Image Reconstruction from projections: principles of computed tomography, Radon Transform, Fourier-Slice Theorem |
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| 11) |
Image Segmentation: Point, Line, Edge Detection (Sobel, Marr-Hildreth, Canny Edge Detection), Hough Transform, Thresholding, Region-based segmentation |
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| 12) |
Morphological image processing: Erosion, dilation, opening and closing, skeletons, hole fillin |
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| 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 |
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| 14) |
Image compression standards: JBIG, JPEG, JPEG2000 |
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Program Outcomes |
Level of Contribution |
| 1) |
Adequate knowledge in mathematics, science and electric-electronic engineering subjects; ability to use theoretical and applied information in these areas to model and solve engineering problems. |
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| 2) |
Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. |
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| 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. (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.) |
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| 4) |
Ability to devise, select, and use modern techniques and tools needed for electrical-electronic engineering practice; ability to employ information technologies effectively. |
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| 5) |
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems. |
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| 6) |
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. |
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| 7) |
Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. |
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| 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. |
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| 9) |
Awareness of professional and ethical responsibility. |
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| 10) |
Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development. |
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| 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. |
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