ΕΠ10 - Digital Image Processing and Applications

Information

Code : ΕΠ10

Type : Elective

Semester : 6

ECTS credits: 5

Course URL: https://eclass.hua.gr/courses/DIT271/

Expected Outcomes

- Understanding of basic principles of capturing and processing digital images
- Understanding fundamental methodologies for image transformation
- Adoption of different optimization methods
- Analysis of spatial segmentation, compression and edge detection methods
- Understanding of basic methodologies for feature extraction and multiscale analysis

Content

Week 1: Introduction to the course
Week 2: Transformations
Week 3: Course lab (1)
Week 4: Optimization
Week 5: Segmentation
Week 6: Course lab (2)
Week 7: Edge detection
Week 8: Compression
Week 9: Course lab (3)
Week 10: Feature Extraction
Week 11: Multiscale analysis
Week 12: Course lab (4)
Week 13: Addressing questions for course assignments

Evaluation Means

- Project: Design and development of various digital image processing algorithms.
- (Optional) Written or oral exam: Development and multiple choice questions.

Bibliοgraphy

- Ν. Papamarkos, Digital processing and analysis of image , Giourdas Eds., 2005, in Greek.
- I. Pitas, Digital image processing, Thessaloniki, 2001, in Greek
- R.C. Gonzalez, R.E. Woods, Digital Image Processing, 4th Edition, Pearson, 2017.

- Burger, Wilhelm, Mark James Burge, Mark James Burge, and Mark James Burge. Principles of digital image processing. Vol. 111. London: Springer, 2009.
- Pratt, William K. Digital image processing: PIKS Scientific inside. Vol. 4. Hoboken, New Jersey: Wiley-interscience, 2007.