INF250 Image Analysis
Showing course contents for the educational year 2022 - 2023 .
Course responsible: Ingunn Burud
ECTS credits: 10
Faculty: Faculty of Science and Technology
Teaching language: EN, NO
Teaching exam periods:
This course starts in the autumn parallel. This course has teaching and evaluation in the autumn parallel.
Course frequency: Annually
First time: Study year 2004-2005
Image analysis is an important subject field in the academic world and in industry. The course gives an introduction to modern techniques that help the student to a comprehensive understanding of how to measure and analyse phenomena in nature. Great emphasis in this course is placed on gaining knowledge and understanding through practical exercises. It is important for the student"s further studies to see the applicability of image analysis in many different subject fields. The student will learn how to program simple applications in imaging. The student shall acquire the knowledge needed to develop analysis methods by means of various types of program tools. Another important point is that the student should be able to participate in evaluations concerning the selection of suitable equipment for applications. Updated information is given at the course website.
- Gain a theoretical and practical understanding of image processing, image analysis and pattern recognition.
- Be able to design and conduct analysis methods based on digital image representation.
- Gain a basic understanding of the practical use of signal processing as applied to digital images.
- Produce and distribute open source image applications.
LecturesGroup work/exercises with an assistant teacher present in selected hoursCompulsory assignments that will be evaluatedIndependent study through web-based teaching
Supervision in groups.
To be announced at course start
INF100, INF120, MATH113/MATH131
Mandatory exercises must be approved in order to pass the exam.
Details will be given when the course starts.
An small project will be given as home exam over a defined period. This will be graded in the range A-F.
Specific entrance requirements: Science
Type of course:
Lectures: 2 hours per week. Exercises: 4 hours per week. Net based: 4 hours self study per week.
The course provides prior knowledge to geomatics students who wish to take GMBB201.
The external and internal examiner jointly prepare the exam questions and the correction manual. The external examiner reviews the internal examiner's examination results by correcting a random sample of candidate¿s exams as a calibration according to the Department's guidelines for examination markings.
Examination details: Home exam: Letter grades