Enrollment year
2021/2022
Academic discipline
ING-INF/05 (DATA PROCESSING SYSTEMS)
Department
DEPARTMENT OF MATHEMATICS "FELICE CASORATI"
Course
ARTIFICIAL INTELLIGENCE
Curriculum
PERCORSO COMUNE
Period
2nd semester (04/03/2024 - 18/06/2024)
Lesson hours
28 lesson hours
Activity type
WRITTEN AND ORAL TEST
Prerequisites
Knowledge acquired in previous courses in mathematics.
Learning outcomes
The course aims to give students the theoretical and practical skills for the design and development of algorithms for the processing of digital images.
Course contents
1 A background on visual perception, human vision vs. artificial vision, color perception. Image sampling and quantization.
2 Image enhancement using intensity transformation functions.
3 Spatial image filtering using liner and non-liner filters.
4 Color spaces. Color image processing.
5 Texture analysis
6 Supervised and unsupervised pixel classification
Teaching methods
The image processing course is based on lectures, examples, exercises and analysis of case studies of digital image processing applications
Lectures (hours/year in lecture theatre): 16
Practical classes (hours/year in lecture theatre): 12
Workshops (hours/year in the lab): 0
The lectures are given using slides.
The practical classes consist in the solution of MATLAB exercises related to the couse content.
Reccomended or required readings
Suggested book: Digital Image Processing, 4rd Edition, Gonzalez & Woods http://www.imageprocessingplace.com/index.htm
Any other versions of the book is acceptable.
PDF of the slides will be provided by the professors.
Assessment methods
The exam is composed of by a short written report of an individual project assigned by the professors concerning the processing and analysis of digital images.
Evaluation of the report will take place in a oral interview.
Some, non mandatory, assignments will be provided. Submitting them will provide extra points on the final evaluation.
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