INF250 Image Analysis
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Showing course contents for the educational year starting in 2014 .
Course responsible: Knut Kvaal
ECTS credits: 10
Faculty: Department of Mathematical Sciences and Technology
Teaching language: NO
Limits of class size:
Minimum 5 students.
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: 2004V
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.
Lectures.Group work/exercises with an assistant teacher present in selected hours.Compulsory assignments.Independent study through web-based teaching.
Supervision in groups.
Main book: Wilhelm Burger and Mark J Burge: Principles of Digital Image Processing. Springer. ISBN 978-1-84800-190-9
Recomended: Rafael C. Gonzalez and Richard E. Woods: Digital Image Processing 3. ed. Prentice Hall. ISBN 0-13-168728-8
Various other literature is available on the course website. Please do not buy any book until after first lecture.
INF100, INF120, MATH113/MATH131
Matrix algebra. Knowledge of fundamental knowledge in programming. (Java)
Compulsory assignments. Details will be given at the beginning of the course.
Writen examination: 3 hours.
Minimum requirements for entrance to higher education in Norway (generell studiekompetanse)
Reduction of credits:
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.
Allowed examination aids: No calculator, no other aids
Examination details: One written exam: A - E / Ikke bestått