|SCIENTIFIC DISCIPLINARY SECTOR||ING-INF/03|
|MODULES||This unit is a module of:|
In this course the basic techniques of digital signal and image processing are presented and their application to signals and images from real domains are discussed: • Digital Image Representation and Color Spaces • Image Filtering (linear and non-linear) • Edge Detection • Image Segmentation • Texture Analysis • Mathematical Morphology • Moments and Hough Transform • Adaptive Processing, Multiscale, Data Fusion
The course provides an introduction to digital image processing techniques. Analysis of digital images has several important applications e.g. remote sensing, biomedical imaging, telecommunications, character recognition, advertising photography, historical objects analysis. Nowadays, the available computational power allows almost everyone to leverage on high-performance algorithm for image processing.
In the first part, digital images will be introduced. Several color spaces are described and common techniques to change from one to another are provided.
Basic methods are presented, e.g. contrast enhancement, thresholding, histogram analysis, noise reduction, underlining the use of the discrete Fourier transform (DFT).
Classical techniques for edge detection, segmentation, mathematical morphology analysis, texture analysis are topics of the course.
During practical lessons, software for image processing such as GIMP, ImageJ, MatLab and libraries such as come OpenCV are used.
Combination of classical lessons and laboratory exercises.
Office hours: On appointment
SILVANA DELLEPIANE (President)
ALESSANDRO FEDELI (President Substitute)
GABRIELE MOSER (President Substitute)
All class schedules are posted on the EasyAcademy portal.
Students with learning disorders ("disturbi specifici di apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities
|11/01/2023||15:00||GENOVA||Scritto||Please refer to the new exam dates: - January 25, 2023. - February 16, 2023|
|03/02/2023||15:00||GENOVA||Scritto||Please refer to the new exam dates: - January 25, 2023. - February 16, 2023|
|06/06/2023||15:00||GENOVA||Scritto||Please refer to the new exam dates: - January 25, 2023. - February 16, 2023|
|06/07/2023||15:00||GENOVA||Scritto||Please refer to the new exam dates: - January 25, 2023. - February 16, 2023|
|06/09/2023||15:00||GENOVA||Scritto||Please refer to the new exam dates: - January 25, 2023. - February 16, 2023|