Course detail

Digital image processing

FAST-IE55Acad. year: 2020/2021

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

Language of instruction

Czech

Number of ECTS credits

7

Mode of study

Not applicable.

Guarantor

doc. Ing. Vlastimil Hanzl, CSc.

Department

Institute of Geodesy (GED)

Learning outcomes of the course unit

Not applicable.

Prerequisites

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

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

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.

Work placements

Not applicable.

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.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

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

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme D-P-C-GK Doctoral

    branch GAK , 1 year of study, summer semester, compulsory-optional

  • Programme D-K-C-GK Doctoral

    branch GAK , 1 year of study, summer semester, compulsory-optional

Type of course unit

 

Lecture

39 hod., optionally

Teacher / Lecturer

doc. Ing. Vlastimil Hanzl, CSc.

Syllabus

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.