Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea in Bioinformatica - Enrollment from 2025/2026The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
The Study plan 2007/2008 will be available by May 2nd. While waiting for it to be published, consult the Study plan for the current academic year at the following link.
Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Image processing for bioinformatics (2009/2010)
Teaching code
4S02713
Teacher
Coordinator
Credits
6
Also offered in courses:
- Sound and image processing - IMMAGINI of the course Bachelor's degree in Computer Science
- Image Processing of the course Bachelor's degree in Bioinformatics (until 2008-2009)
- Digital Image and Sound Processing - TEORIA of the course Bachelor's degree in Multimedia Information Technology (until 2008-2009)
- Digital Image and Sound Processing - LABORATORIO of the course Bachelor's degree in Multimedia Information Technology (until 2008-2009)
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
2nd Semester dal Mar 1, 2010 al Jun 15, 2010.
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.
Program
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
Examination Methods
Oral and miniproject. However, the oral could be replaced by a written exam with the same structure.
Teaching materials e documents
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L1 - Introduzione (pdf, it, 6619 KB, 4/19/10)
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L2 - 2D Discrete Fourier Transform (pdf, it, 675 KB, 4/19/10)
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L2 - 2D Fourier Transform (pdf, it, 1849 KB, 4/19/10)
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L2 - Sampling Quantization (pdf, it, 1015 KB, 4/19/10)
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L3 - JPEG (pdf, it, 1946 KB, 4/19/10)
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L4 - Image enhancement: neighbor operations (pdf, it, 8297 KB, 4/14/10)
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L4 - Image enhancement - part 1 (pdf, it, 2368 KB, 4/19/10)
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L5 - Edge detection (pdf, it, 3085 KB, 4/19/10)
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L6 - Region based proc. (Segmentation) (pdf, it, 2822 KB, 4/26/10)
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L7 - Color Imaging (pdf, it, 2686 KB, 5/3/10)
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L7 - Color Vision (pdf, it, 1920 KB, 5/3/10)
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L8 - Wavelets (pdf, it, 880 KB, 5/19/10)
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Lab. DWT (zip, it, 855 KB, 5/25/10)