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.
C. OLEARI, Misurare il colore, Hoepli, II edizione, 2008
R.M. HARALICK , L:G: SHAPIRO, Computer and Robot Vision, Vol. 1, Addison-Wesley, 1991.
P. ZAMPERONI, Metodi dell'elaborazione digitale di immagini, Masson, 1990.
D. H. BALLARD, C. M. BROWN, Computer vision, Prentice Hall, 1982.
Petrou, Maria MP, and Costas Petrou. Image processing: the fundamentals. John Wiley & Sons, 2010.
Shapiro, L., and G. Stockman. Computer Vision. Prentice-Hall Inc., New Jersey (2001)
Jain, Anli K. Fundamentals of digital image processing. Prentice-Hall Inc., 1989
Class slides can be downloaded from aulaweb.
Tests and solutions can be downloaded from aulaweb.
Ricevimento: On appointment by e-mail message.
SILVANA DELLEPIANE (President)
FEDERICA FERRARO
GIULIA IACONI
ANDREA RANDAZZO
SEBASTIANO SERPICO
ALESSANDRO FEDELI (President Substitute)
GABRIELE MOSER (President Substitute)
https://corsi.unige.it/en/corsi/10378/students-timetable
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
The written exam will allow to verify the learning of the topics of the program and the orientation and reasoning ability of the student.
The practical computer test will verify the ability to use the software seen during the practical laboratory exercises.
