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