- Know the mathematical and statistical foundations of Digital Image Processing, emphasizing linear processing.
- Know the main sources of image degradation, and the possibilities of image restoration techniques.
- Know the basic components of image analysis and image understanding systems.
- Know elementary strategies for image segmentation, feature extraction, morphological processing and object recognition.
- Know the basic tools for processing image sequences.
- Use a specific software environment to implement image processing algorithms.
- Implement and use basic processing tools: linear and non-linear local processing, image transform, morphological operators, basic methods for feature extraction and segmentation.
- Solve complex image processing problems through the combination of basic processing blocks.
- Design strategies and image processing algorithms for solving specific problems.