Introduction to Image Processing

A.Y. 2018/2019
Overall hours
MAT/03 MAT/08
Learning objectives
The course presents the main concepts that are the basis of computer graphics and digital image analysis. The emphasis will be put on the issues and basic techniques.
Expected learning outcomes
Learning the basics, geometric and numerical, for CAD; learning of the main techniques of digital image processing, implementation of algorithms for the analysis of images.
Course syllabus and organization

Single session

Lesson period
Second semester
mod. 1
Course syllabus
Part 1.
A brief overview of Euclidean and affine Geometry, geometric transformations. Differential geometry of curves and surfaces in E3. Bézier curves and Bernstein polynomials. Spline (degree 2 and 3), Bézier surfaces patches, Coons surfaces. Points and curves interpolation, Hermite interpolation.
mod. 2
Course syllabus
Part 2.
Main properties of digital images and image representation. Basic algorithms for image analysis (edge detection, denoising, segmentation). Image coding and image transforms, introduction to Wavelet transform and compression. Introduction to Subdivision Scheme. Notes on segmentation and the calculus of variations.
Introduction to image processing in MATLAB.
mod. 1
MAT/03 - GEOMETRY - University credits: 3
Lessons: 27 hours
Professor: Alzati Alberto
mod. 2
MAT/08 - NUMERICAL ANALYSIS - University credits: 3
Practicals: 11 hours
Laboratories: 24 hours
Professor: Naldi Giovanni
Monday 14.00-16.00
Office n° 2103, II floor, c/o Dip. Mat., via Saldini 50