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Course detail

Digital image processing

Course unit code: FAST-IE55
Academic year: 2017/2018
Type of course unit: optional
Level of course unit: Doctoral (3rd cycle)
Year of study: 1
Semester: summer
Number of ECTS credits:
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.
Course contents (annotation):
Techniques of image improvement, suppression of noise,improvement of contours,extraction of points and lines using interest operators, correlations.
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: doc. Ing. Vlastimil Hanzl, CSc.

The study programmes with the given course