Sprache der Veranstaltung:
  • Englisch
Termin Vorlesung:
  • Mo 12:15-13:45 H6
    Di 10:15-11:45 H6
    Lectures on Tuesday will be given bi-weekly, alternating with exercises.
Termin Übung:
  • Di 10:15-11:45 06.021
    Exercises will be given bi-weekly, alternating with the lecture.
  • 5 ECTS
Stunden Vorlesung:
  • 3
Stunden Übung:
  • 1
UnivIS Links:


Point operations Histogram equalization, gamma correction

Binary operations Morphological filters, erosion, dilation, opening, closing

Color spaces Trichromacy, red-green-blue color spaces, color representation using hue, saturation and value of intensity

Multidimensional signals and systems Theory of multidimensional signals and systems, impulse response, linear image filtering, power spectrum, Wiener filtering

Interpolation of image signals Bi-linear interpolation, bi-cubic interpolation, spline interpolation

Image feature detection Image features, edge detection, Hough transform, Harris corner detector, texture features, co-occurrence matrix

Scale space representation Laplacian of Gaussian, difference of Gaussian, scale invariant feature transform, speeded-up robust feature transform

Image matching Projective transforms, block matching, optical flow, feature-based matching using SIFT and SURF, random sample consensus algorithm

Image segmentation Amplitude thresholding, k-means clustering, Bayes classification, region-based segmentation, combined segmentation and motion estimation, temporal segmentation of video

Transform domain image processing Unitary transform, Karhunen-Loeve transform, separable transform, Haar and Hadamard transform, DFT, DCT

Organisational Issues

Starting date for the supplements: Tue, Oct 30, 2018 at 10:15 (Room: 06.021)

Time Table

Dates will be published soon

Lecture Slides

The slides are available as PDF for students of the lecture. They can be downloaded at StudOn.


The exercise sheets can be downloaded at StudOn subsequent to the particular exercise.

Access Data

You need a StudOn account to download the slides. The PDF files are additionally protected. The corresponding password will be given in the first lecture.


Oral exam, 30 min