Image processing for bioinformatics (2010/2011)

Course code
Name of lecturer
Gloria Menegaz
Gloria Menegaz
Number of ECTS credits allocated
Other available courses
Academic sector
Language of instruction
II semestre dal Mar 1, 2011 al Jun 15, 2011.

Lesson timetable

II semestre
Day Time Type Place Note
Monday 2:30 PM - 4:30 PM laboratorio Laboratory Delta  
Tuesday 8:30 AM - 10:30 AM lesson Lecture Hall B  
Wednesday 2:30 PM - 3:30 PM lesson Lecture Hall B  

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