spring 2018

FYS-2010 Digital image processing - 10 ECTS

Sist endret: 28.02.2019

The course is provided by

Faculty of Science and Technology

Location

Tromsø |

Application deadline

Applicants from Nordic countries: 1 June for the autumn semester and 1 December for the spring semester.

Exchange students and Fulbright students: 1 October for the spring semester and 15 April for the autumn semester.

Type of course

The course is available as a singular course. The course is also available to exchange students and Fulbright students.

Admission requirements

Admission requirements are generell studiekompetanse + REALFA.Local admission, application code 9336 - enkeltemner i realfag.  

Course content

The course contains mathematical characterization of continuous and discrete images, the psychophysical properties of the eyesight, sampling and reconstruction of images, some important two-dimensional transforms and techniques related to such transforms, image improvement, thresholding, and segmentation. Exercises will be emphasized. Fundamental knowledge of programming is presupposed.

Recommended prerequisites

FYS-2006 Signal processing, INF-1049 Introduction to computational programming

Objectives of the course

Knowledge - The student can:

  • describe fundamental image processing techniques
  • use basic image processing techniques to solve a given problem

Skills - The student can:

  • explain the theory behind and application domain of various basic intensity transforms, spatial filters and frequency domain filters
  • apply image restoration and reconstruction techniques
  • apply color image processing techniques
  • explain image segmentation and thresholding techniques
  • evaluate various image processing techniques applied to a given problem

General expertise - The student can:

  • implement image processing techniques in Matlab
  • interpret and discuss various image processing techniques

Language of instruction

The language of instruction is English and all of the syllabus material is in English. Examination questions will be given in English, but may be answered either in English or a Scandinavian language.

Teaching methods

Lectures: 40 hours Exercises: 40 hours

Assessment

Portfolio assessment of a take-home examination counting about 20 % and a final 4 hour written examination counting about 80 %. All components in the portfolio are assessed as a whole and one combined grade is given. Assessment scale: Letter grades A-F. Postponed examination (sections 17 and 21): Students with valid grounds for absence will be offered a postponed examination. Postponed take-home examination is arranged during the semester if possible, otherwise early in the following semester. Postponed written examination is held early in the following semester. See indicated sections in Regulations for examinations at the UiT The arctic university of Norway for more information. Coursework requirements Access to the final examination requires submission of take-home examination.

Date for examination

Written exam 14.05.2018

The date for the exam can be changed. The final date will be announced in the StudentWeb early in May and early in November.

Schedule

Course overlap

FYS-262 Digital image processing 9 stp

Recommended reading/syllabus

Information will come