Image Processing (2008/2009)

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Course code
Name of lecturer
Gloria Menegaz
Number of ECTS credits allocated
Academic sector
Language of instruction
2° Q dal Jan 26, 2009 al Mar 27, 2009.

Lesson timetable

2° Q
Day Time Type Place Note
Wednesday 12:30 PM - 2:30 PM lesson Lecture Hall F  
Thursday 11:30 AM - 1:30 PM lesson Lecture Hall C  
Thursday 1:30 PM - 2:30 PM lesson Laboratory Alfa  

Learning outcomes

The course aims at providing the students with the basic tools that are required for image analysis and modeling with focus on bioinformatics. This will consist of the generalization of the main signal analysis methods to the 2D case, enriched with 2D specific tools. Among the main topics are the Fourier and Wavelet transforms, the multi-scale representation and analysis, color imaging, as well as techniques for image segmentation and classification.


Among the main topics are

- Image acquisition
- Sampling in 2D
- Quantization noise
- 2D Fourier transform (space-frequency analysis)
- 2D Wavelet transform (multiscale representation)
- Edge detection
- Filtering (denoising, deblurring, image enhancement)
- Basics of mathematical morphology
- Image segmentation and performance assessment
- Color imaging
- Foundations of pattern recognition (classification, clustering)
- Applications to microarrays and biomedical images

Assessment methods and criteria

Oral and miniproject. However, the oral could be replaced by a written exam with the same structure.

Teaching aids