Course Description
The main objective of this course is to introduce fundamental and advanced concepts of digital image processing and computer vision using practical techniques will be applied in both spatial and frequency domain. All our manipulations will be achieved using MATLAB.
Course Objectives
- Understand principles of digital image processing and computer vision
- Have sufficient experience to filter noisy image and to restore degraded one.
- Understand the difference between spatial domain and frequency domain techniques
- Use features extraction techniques for making intelligent machine decisions
Who Should Attend?
- Undergraduate Engineering students,
- Master students,
- Engineers
Course Details/Schedule
- General Introduction to DIP
- Principles of Digital Image processing,
- The histogram & histogram equalization,
- Image Filtering (Spatial Domain techniques),
- Image degradation & restoration process
- Edges Detection techniques & boundary description,
- Morphological operations,
- Geometric spatial transformation & Interpolation,
- Colored Image processing
- Image processing in the frequency domain,
- Dynamic objects detection & features extraction techniques,
- Wavelets and their applications
- Gabor filter and its application
