DIGITAL IMAGE PROCESSING

DIGITAL IMAGE PROCESSING

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Code
90142
ACADEMIC YEAR
2020/2021
CREDITS
5 credits during the 2nd year of 10378 INTERNET AND MULTIMEDIA ENGINEERING (LM-27) GENOVA
SCIENTIFIC DISCIPLINARY SECTOR
ING-INF/03
TEACHING LOCATION
GENOVA (INTERNET AND MULTIMEDIA ENGINEERING)
semester
1° Semester
modules
This unit is a module of:
Teaching materials

AIMS AND CONTENT

LEARNING OUTCOMES

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

Teaching methods

Combination of traditional lectures (50 hours) and mandatory laboratory exercises (10 hours).

SYLLABUS/CONTENT

  • Digital Image Representation
  • Color Spaces
  • Image Filtering (linear and non-linear)
  • Edge detection
  • Image Segmentation
  • Mathematical morphology
  • Moments and Hough Transform
  • Texture analysis

RECOMMENDED READING/BIBLIOGRAPHY

  • Jhane, B., Digital Image Processing, Sprinter, Berlin, 1997 
  • Dellepiane S.,  (2004), Elaborazione di immagini digitali – Materiale di supporto alle lezioni ed Esercizi. GENOVA: ECIG, ISBN: 88-7544-017-4
  • Class slides can be downloaded from aulaweb. 
  • Tests and solutions can be downloaded from aulaweb.

TEACHERS AND EXAM BOARD

Ricevimento: On appointment

Exam Board

SEBASTIANO SERPICO (President)

SILVANA DELLEPIANE (President)

MARCO TROMBINI

DAVID SOLARNA

GABRIELE MOSER

LUCA MAGGIOLO

LESSONS

Teaching methods

Combination of traditional lectures (50 hours) and mandatory laboratory exercises (10 hours).

EXAMS

Exam description

  • Written test
  • Laboratory exercises attendance verification