Course detail

Digital image processing

FAST-IE55OptionalDoctoral (3rd cycle)Acad. year: 2017/2018Summer semester1. year of study7  credits

Techniques of image improvement, suppression of noise,improvement of contours,extraction of points and lines using interest operators, correlations.

Learning outcomes of the course unit

Not applicable.

Mode of delivery

20 % face-to-face, 80 % distance learning

Prerequisites

Methods for acquisition of digital images. Basic techniques for image proceesing.

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

J.A. Richards, Xiuping Jia: Remote Sensing Digital Image Analysis. Springer 2006
Kraus, K.: Photogrammetrie. Band 1. de Gruyter 2004

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Language of instruction

Czech

Work placements

Not applicable.

Course curriculum

1.Histogram of a image,imrovement of contrast,convolution.
2.Suppression of noise, linear and nelinear filters.
3.Improvement of contours,methods of the gradient,method of passage by zero of the second derivate (LOG operator).
4.Interest operators.
5.Correlations.

Aims

Image improvements for photogrammetric purposes, filtering,extraction of image elements, correlations.

Specification of controlled education, way of implementation and compensation for absences

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Type of course unit

 

Lecture

39 hours, optionally

Teacher / Lecturer