Digital Image Processing 510-IS1-3CPO-23
Profile: general-academic
Form of studies: stationary
Course type: non-obligatory
Field and the discipline of the science: sciences and natural sciences, computer science
Year of studies/semester: 3/6
Preliminary requirements (so-called sequential system of classes and examinations): Fundamentals of structured programming, Introduction to object-oriented programming
Lecture: 15, laboratory classes: 30
Didactic methods: Teaching materials are developed and presented during lectures. Laboratory instructions are provided to students during each class. Consultations are also planned.
ECTS: 4
Student Workload Balance:
Class Participation:
- Lecture 15h
- Laboratory 30h
Preparation for Classes:
- Lecture 6h
- Laboratory 10h
Literature Reading: 10h
Reports, Class Reports in Form of Projects, Homework: 10h
Preparation for the Test: 8h
Preparation for the Exam: 6h
Assessment Duration: 2h
Participation in Consultations: 3h
Quantitative indicators:
requiring the direct participation of the teacher: 50, 2.1ECTS
on the nature of practical cases: 50, 1.9ECTS
Type of course
Prerequisites (description)
Course coordinators
Learning outcomes
Course Learning Outcomes:
Knows and can describe basic digital image models. KP6_WG11
Can list and characterize basic digital image processing methods. KP6_WG11
Can select the appropriate method for processing various types of images. KP6_UW8, KP6_UK3
Can correctly perform image processing and draw appropriate conclusions. KP6_UW8, KP6_UK3
Has the ability to implement image processing methods, e.g., in Matlab, Python. KP6_UW8
Can appropriately organize work to solve image processing problems. KP6_UW8, KP6_UK3, KP6_UO1, KP6_UO2
Systematically expands knowledge of image processing. KP6_KK1
Creatively solves image processing problems, independently and collaboratively. KP6_UK3, KP6_UO1, KP6_UO2
Assessment criteria
General form of assessment: exam
Bibliography
Primary literature:
Malina W., Smiatacz M., Digital Image Processing, Academic Publishing House EXIT, Warsaw, 2012.
Wróbel Z., Koprowski R., Image Processing Practice with Matlab Tasks, Academic Publishing House EXIT, Warsaw, 2012.
Supplementary literature:
M. Nałęcz (ed.). Biocybernetics and Biomedical Engineering. Volume 8. Biomedical Imaging. Academic Publishing House EXIT, Warsaw 2003.
Skarbek W., Methods of Digital Image Representation, Warsaw, 1993.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: