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Dublin University Crest Computer Science Department > Dr. Kenneth Dawson-Howe > Practical Vision textbook Trinity College Crest
 Code Samples
 OpenCV information
 Lecture notes
 1. Introduction
 2. Images
 3. Histograms
 4. Binary Vision
 5. Geometric
 6. Edges
 7. Features
 8. Recognition
 9. Video
 Application Problems

Lecture Notes.

Slides are provided here for chapters 1-9 of the book. Please take note of the copyright notice at the end of this page.

1. Introduction slides
2. Images slides.

Sample eBook video:
- Sampling.

3. Histograms slides.

Sample eBook video:
- k-Means.

4. Binary Vision slides.

Sample eBook video:
- Adaptive Thresholding.

5. Geometric slides.

6. Edges slides.

Sample eBook video:
- Edge Thresholding.

7. Features slides.

Sample eBook video:
- SIFT Tracking.

8. Recognition slides.

Sample eBook video:
- Chamfer Matching.

© 2023 Reproduced by permission of
Dr. James Ferryman, University of Reading
Video slides.

Sample eBook video:
- Median Background.

Copyright © 2023 Wiley & Kenneth Dawson-Howe. Unless indicated otherwise the rights to the materials presented here are held by Wiley and/or Kenneth Dawson-Howe. All rights reserved with the following exceptions:

  • Permission is granted to make use of the Powerpoint slideshows, and/or slide/images/text taken from the slideshows hosted under this folder for teaching purposes subject to the textbook ("A Practical Introduction to Computer Vision with OpenCV" by Kenneth Dawson-Howe, Wiley 2014.) being included as a recommended text, and to an appropriate copyright notice being reproduced along with the material.
Email  kdawson @