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26937-01 - Lecture with practical courses: Data processing and control 4 CP

Semester fall semester 2021
Course frequency Every fall sem.
Lecturers Philippe Claude Cattin (philippe.cattin@unibas.ch, Assessor)
Nicolas Gerig (nicolas.gerig@unibas.ch)
Georg Rauter (georg.rauter@unibas.ch)
Content The objective of this lecture is to introduce the basic concepts of image formation and explain the fundamental methods commonly used in Computer Vision such as in Medical Image Analysis Applications. The necessary signal processing background, to fully understand the presented methods, will be taught.

In the introductory and motivational part of this course an overview of emerging computer vision applications in the medical field is given. Then the concepts related to digital images, their discretisation, quantification as well as the notation used throughout this lecture is introduced. The next part reviews the signal processing background necessary to understand the underlying mathematics behind many Computer Vision algorithms. The subsequent parts are then devoted to image enhancement and restoration techniques with the objective to pre-process the images such that they closely resemble the image captured under ideal conditions. We will also look at methods for basic feature extraction and how to group them into structures such as lines and circles. Finally, an overview of the existing image segmentation techniques is given.

The understanding of the presented methods is deepened in the accompanying exercises.
Weblink DBE

 

Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room
wöchentlich Wednesday 13.15-16.00 Gewerbestrasse 14, Vorlesungsraum DBE 14.03.002

Dates

Date Time Room
Wednesday 22.09.2021 13.15-16.00 Gewerbestrasse 14, Vorlesungsraum DBE 14.03.002
Wednesday 29.09.2021 13.15-16.00 Gewerbestrasse 14, Vorlesungsraum DBE 14.03.002
Wednesday 06.10.2021 13.15-16.00 Gewerbestrasse 14, Vorlesungsraum DBE 14.03.002
Wednesday 13.10.2021 13.15-16.00 Gewerbestrasse 14, Vorlesungsraum DBE 14.03.002
Wednesday 20.10.2021 13.15-16.00 Gewerbestrasse 14, Vorlesungsraum DBE 14.03.002
Wednesday 27.10.2021 13.15-16.00 Gewerbestrasse 14, Vorlesungsraum DBE 14.03.002
Wednesday 03.11.2021 13.15-16.00 Gewerbestrasse 14, Vorlesungsraum DBE 14.03.002
Wednesday 10.11.2021 13.15-16.00 Gewerbestrasse 14, Vorlesungsraum DBE 14.03.002
Wednesday 17.11.2021 13.15-16.00 Gewerbestrasse 14, Vorlesungsraum DBE 14.03.002
Wednesday 24.11.2021 13.15-16.00 Gewerbestrasse 14, Vorlesungsraum DBE 14.03.002
Wednesday 01.12.2021 13.15-16.00 Gewerbestrasse 14, Vorlesungsraum DBE 14.03.002
Wednesday 08.12.2021 13.15-16.00 Gewerbestrasse 14, Vorlesungsraum DBE 14.03.002
Wednesday 15.12.2021 13.15-16.00 Gewerbestrasse 14, Vorlesungsraum DBE 14.03.002
Wednesday 22.12.2021 13.15-16.00 Gewerbestrasse 14, Vorlesungsraum DBE 14.03.002
Tuesday 11.01.2022 08.00-18.00 Gewerbestrasse 14, Vorlesungsraum DBE 14.03.002
Thursday 13.01.2022 08.00-18.00 Gewerbestrasse 14, Vorlesungsraum DBE 14.03.002
Modules Module Specialisation: Medical Nanosciences (Master's Studies: Nanosciences)
Module: Applications of Distributed Systems (Master's Studies: Computer Science)
Module: Applications of Machine Intelligence (Master's Studies: Computer Science)
Module: Biomedical Engineering (Master's Studies: Biomedical Engineering)
Assessment format record of achievement
Assessment details oral exam, 30 min, exact times will be communicated via email
Assessment registration/deregistration Reg.: course registration, dereg: cancel course registration
Repeat examination one repetition, best attempt counts
Scale 1-6 0,5
Repeated registration as often as necessary
Responsible faculty Faculty of Medicine
Offered by Departement Biomedical Engineering (DBE)

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