Objective of the course – aims of the course unit:
Image improvements for photogrammetric purposes, filtering,extraction of image elements, correlations.
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Objective of the course – learning outcomes and competences:
n. a.
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Prerequisites:
Methods for acquisition of digital images. Basic techniques for image proceesing.
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Course contents (annotation):
Techniques of image improvement, suppression of noise,improvement of contours,extraction of points and lines using interest operators, correlations.
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Teaching methods and criteria:
n. a.
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Assesment methods and criteria linked to learning outcomes:
Requirements for successful completion of the subject are specified by guarantor’s regulation updated for every academic year.
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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.
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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.
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Recommended reading:
J.A. Richards, Xiuping Jia: Remote Sensing Digital Image Analysis. Springer 2006 Kraus, K.: Photogrammetrie. Band 1. de Gruyter 2004
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