Learning Outcomes
- Adoption of basic principles of image analysis and computer vision
- Understanding fundamental methodologies for image transformation and optimization
- Analysis of spatial segmentation and edge detection methods
- Understanding of basic methodologies for feature extraction
- Adoption of computer vision methodologies using
deep learning techniques
Course Content
Week 1: Introduction to the course
Week 2: Transformations
Week 3: Optimization
Week 4: Course lab (1)
Week 5: Segmentation
Week 6: Edge detection
Week 7: Feature Extraction
Week 8: Course lab (2)
Week 9: Introduction to deep learning techniques for computer vision
Week 10: Computer vision applications using deep learning techniques (1)
Week 11: Computer vision applications using deep learning techniques (2)
Week 12: Course lab (3)
