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 of subjects specific to mathematics (analysis, linear, algebra, differential equations, statistics), science (physics, chemistry, biology) and related engineering discipline, and the ability to use theoretical and applied knowledge in these fields in complex engineering problems. |
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| 2) |
Identify, formulate, and solve complex Biomedical Engineering problems; select and apply proper modeling and analysis methods for this purpose |
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| 3) |
Design complex Biomedical systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. |
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| 4) |
Devise, select, and use modern techniques and tools needed for solving complex problems in Biomedical Engineering practice; employ information technologies effectively. |
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| 5) |
Design and conduct numerical or physical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Biomedical Engineering. |
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| 6) |
Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Biomedical Engineering-related problems. |
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| 7) |
Ability to communicate effectively in Turkish, oral and written, to have gained the level of English language knowledge (European Language Portfolio B1 general level) to follow the innovations in the field of Biomedical Engineering; gain the ability to write and understand written reports effectively, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. |
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| 8) |
Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself. |
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| 9) |
Having knowledge for the importance of acting in accordance with the ethical principles of biomedical engineering and the awareness of professional responsibility and ethical responsibility and the standards used in biomedical engineering applications |
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| 10) |
Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. |
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| 11) |
Acquire knowledge about the effects of practices of Biomedical Engineering on health, environment, security in universal and social scope, and the contemporary problems of Biomedical Engineering; is aware of the legal consequences of Mechatronics engineering solutions. |
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