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
Mode of delivery
20 % face-to-face, 80 % distance learning
Methods for acquisition of digital images. Basic techniques for image proceesing.
Recommended optional programme components
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
Assesment methods and criteria linked to learning outcomes
Language of instruction
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).
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
39 hours, optionally
Teacher / Lecturer