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Digital image processing

Kick-off event on 6 October (time as per timetable): University, Room 5-120

All sessions from 9 October (times as per the timetable): Online (link)

The information on this page is provisional; content may be added to or amended during the semester.

Introductory session

Discretisation, colour spaces

Discretisation (video)
CCD sensors (video)
Colour spaces (video)
Lecture (PDF)  

Digital curves

Neighbourhoods (video)
Digital curves (video)
Gradient (video)
Dynamic programming (video)
 

Comparison of curves

Time-warping (video) Character
recognition (video)  

Seam carving

Seam carving (video) Determining the direction
of light (pdf)
 

Neural networks

Preparation (video)
Basics (video)
Feed-forward (video)
Backpropagation (video)
Outlook (video)
Example (video)  

Hough transformation

Hough (Straight lines/Functions) (Video)
Hough (Arbitrary shapes/R-table) (Video)  

Curvature Scale Space

CSS (Video)  

Segmentation I

Motivation (video)
Alpha matting (video)
Live-Wire (video)  

Segmentation II

Shadow segmentation (video)
Watershed (video)
Graph Cut (video)
K-means (video)  

Base transformation

Motivation (video)
Fourier (video)
DCT (video)
Eigenfaces (video)  

Filter

Motivation (video)
Convolution (video)
Box filter (video)
Gaussian filter (video)
Butterworth (video)
Morphology (PDF)  

Short-time Fourier/Wavelets

Derivative filter (video) Compass
filter (video) Corner
detection (video)
Short-time FT/wavelets (video)
Haar wavelet (video)  

Histograms

Entropy of histograms (video) Gamma
correction (video)
Histogram normalisation (video)  

Histograms

Motivation (video)
Haralick (video)  

Kalman filter