- Mo 12:15-13:45 H6
Di 10:15-11:45 H6
Lectures on Tuesday will be given bi-weekly, alternating with exercises.
- Di 10:15-11:45 06.021
Exercises will be given bi-weekly, alternating with the lecture.
- 5 ECTS
ContentPoint 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