DIGITAL IMAGE PROCESSING

Course Description

Digital Image Fundamentals. Elements of Visual Perception. Light and the Electromagnetic Spectrum. Image Sensing and Acquisition. Image Sampling and Quantization.Some Basic Relationships between Pixels. Linear and Nonlinear Operations. Image Enhancement in the Spatial Domain. Basic Gray Level Transformations. Histogram Processing. Basics of Spatial Filtering. Smoothing Spatial Filters. Sharpening Spatial Filters. Color Image Processing. Color Fundamentals. Color Models. Pseudocolor Image Processing. Basics of Full-Color Image Processing. Color Transformations. Smoothing and Sharpening. Color Segmentation. Image Segmentation. Detection of Discontinuities. Edge Linking and Boundary Detection. Thresholding. Region-Based Segmentation. Segmentation by Morphological Watersheds. Morphological Image Processing .Dilation and Erosion. Opening and Closing. Extensions to Gray-Scale Images.

DIGITAL IMAGE PROCESSING

Evaluation Tools (Active Term)

Course outcomes

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Course Syllabus

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Reference Books & Course Materials

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Learning Outcomes

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Program Outcomes

1. Based on bachelor's-level qualifications, be able to develop and deepen knowledge at the level of specialization in the same or a different field.
2. Should be able to understand and appreciate the interdisciplinary interactions related to their field.
3. Should be able to apply expert-level theoretical and practical knowledge acquired in their field.
4. Should be able to integrate knowledge from their field with knowledge from other disciplines, interpret it, and generate new knowledge.
5. Should be able to resolve problems encountered in their field through the application of appropriate research methods.
6. Should be able to independently carry out research or professional work that requires expertise in their field.
7. Should be able to develop innovative strategic approaches for resolving complex and unpredictable problems encountered in their field of practice and take responsibility for producing effective solutions.
8. Should be able to demonstrate leadership in environments where solving problems related to their field is required.
9. Should be able to critically assess the advanced knowledge and skills acquired in their field and manage their own learning processes.
10. Should be able to systematically present current developments in their field and their own studies, supported by quantitative and qualitative data, to both disciplinary and non-disciplinary audiences through written, oral, and visual communication.
11. Should be able to critically analyze and enhance social relationships and the norms that shape these relationships, and initiate actions aimed at their transformation when necessary.
12. Should be able to communicate effectively through oral and written communication in at least one foreign language at the B2 level of the Common European Framework of Reference for Languages (CEFR).
13. Should be able to utilize information and communication technologies and relevant computer software at an advanced level appropriate to the requirements of their field.
14. Should be able to manage and evaluate the processes of collecting, interpreting, applying, and communicating data related to their field in accordance with social, scientific, cultural, and ethical values, and promote the understanding of these values.
15. Should be able to develop strategies, policies, and action plans in areas related to their field and assess the results obtained in accordance with quality assurance processes.
16. Should be able to apply the advanced knowledge acquired in their field, along with problem-solving and application skills, in interdisciplinary studies.

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