Image processing for bioinformatics (2009/2010)

Course code
Name of lecturer
Gloria Menegaz
Gloria Menegaz
Number of ECTS credits allocated
Other available courses
Academic sector
Language of instruction
2nd Semester dal Mar 1, 2010 al Jun 15, 2010.

Lesson timetable

2nd Semester
Day Time Type Place Note
Monday 2:30 PM - 4:30 PM lesson Lecture Hall B  
Wednesday 10:30 AM - 11:30 AM lesson Lecture Hall B  
Wednesday 11:30 AM - 1:30 PM laboratorio 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