University :Mansoura University |
Faculty :Faculty of Engineering |
Department : |
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| 1- Course data :- |
| | Code: | CSE395 | | Course title: | Image Processing | | Year/Level: | 300 | | Program Title: | - Bsc. in biomedical engineering
| | Specialization: | | | Teaching Hours: | Theoretical: | 2 | Tutorial: | 1 | Practical: | 1.5 |
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| 2- Course aims :- |
| - 1. Apply the concepts of mathematics on digital image problems.
- 3. Use the techniques and MATLAB tool to simulate image processing systems.
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| 3- Course Learning Outcomes :- |
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| 4- Course contents :- |
| | No | Topics | Week |
|---|
| 1 | Digital imaging systems and digital images | 1-2 | | 2 | Image statistics | 3-5 | | 3 | Image filtering, discrete Fourier transform (DFT) | 6-7 | | 4 | Image Enhancement in The Frequency Domain. | 9-10 | | 5 | Image segmentation, reconstruction, decoding, and compression. | 11-12 | | 6 | Image transformation and Singular value decomposition. | 13-14 |
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| 5- Teaching and learning methods :- |
| | S | Method |
|---|
| Lectures | | Discussion Sessions | | Practical | | Research Assignment | | Case Studies | | Smart Sessions |
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| 6- Teaching and learning methods of disables :- |
| - Make simple projects - To understand the importance of image processing in real applications.
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| 7- Student assessment :- |
| A. Timing |
| | No | Method | Week |
|---|
| 1 | Mid Term Examination | 8 | | 2 | Semester work | Every week | | 3 | Final Term Examination | 15 |
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| B. Degree |
| | No | Method | Degree |
|---|
| 1 | Mid_term examination | 20% | | 2 | Final_term examination | 50% | | 3 | Oral examination | 0 | | 4 | Practical examination | 0 | | 5 | Semester work | 30% | | 6 | Other types of asessment | 0 | | Total | 100% |
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| 8- List of books and references |
| | S | Item | Type |
|---|
| 1 | Geometric Methods in Bio-Medical Image Processing (Mathematics and Visualization), Dec 21, 2012 ,RavikanthMalladi | Books | | 2 | Advances in Mass Data Analysis of Signals and Images in Medicine, Biotechnology and Chemistry: International..., Jan 16, 2008, Petra Perner and OvidioSalvetti | Books | | 3 | Petrou, Maria, and Costas Petrou. Image processing : the fundamentals. Chichester, U.K: Wiley, 2010. | Books | | 4 | Sonka, Milan, Vaclav Hlavac, and Roger Boyle. Image processing, analysis, and machine vision. Stamford, CT, USA: Cengage Learning, 2015. | Books |
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| 9- Matrix of knowledge and skills of the course |
| | S | Content | Study week |
|---|
| Digital imaging systems and digital images | 1-2 | | Image statistics | 3-5 | | Image filtering, discrete Fourier transform (DFT) | 6-7 | | Image Enhancement in The Frequency Domain. | 9-10 | | Image segmentation, reconstruction, decoding, and compression. | 11-12 | | Image transformation and Singular value decomposition. | 13-14 |
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| Course Coordinator(s): - |
| - Moaaz Ahmed Sami Moustafa Ahmed El Deeb
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| Head of department: - |
| Hossam El Din Salah Moustafa Salah |
