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Lectures

Lecture
Content
Slides
(updated)
Ready 2020
1 Information. Introduction. Digital Image Fundamentals. Lecture1
(Updated 30/8 2020)
Ready for 2020!
2 1D and 2D Fourier transforms. 1D and 2D sampling and reconstruction. Lecture2
(p.20 updated 8/9 2020)
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3
2D DFT and FFT. 2D linear and circular convolution.
2D filters: low-pass, high-pass, derivative. Simple edge detection.
Lecture3
(Updated 1/9 2020)
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4
Resampling and interpolation.
Lecture4
(Updated 2/9 2020)
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5
Basic intensity transformations. Histogram processing. Thresholding. Lecture5
(Updated 10/9 2020)
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6
Morphological image procession I. Distance maps. Lecture6
(Updated 16/9 2020)
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X
Completion of lecture 5. Then Lesson 2. LectureX

7
Segmentation: region growing, region splitting and merging, watersheds, labeling.
Morphological image procession II.
Lecture7
(Updated 23/9 2020)
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8
Thresholding with hysteres.
Matched filters and pattern recognition. The structure tensor.
Lecture8
(Updated 30/9 2020)
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9
Edge detection. Marr-Hildreth's and Canny's edge detector.
Hough transform. Fourier descriptors.
Lecture9
(Updated 2/10 2020)
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FourierDescr
10
Noise reduction. Image restoration. Lecture10
(Updated 7/10 2020)
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11
Various topics.
This is a short lecture!
Lecture11
(Updated 8/10 2020)
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12
Color Lecture12
(Updated 20/10 2020)
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Last updated: 2020-11-19