Teaching in the winter semester takes place at a distance - in the form of online video meetings (via Zoom), sent materials and assignments. The date of the meeting is selected by a vote of the students + the teacher.

• Lab 1:

  • Introduction to Python

  • Python fundamentals for Image Processing

  • Colab, GitHub

  • Basic Image Manipulation

  • Fourier Transform

• Lab 2:

  • Noise Reduction

  • Edge detection

  • Histogram

• Lab 3:

  • Image Registration

  • Morphological

  • Transformations

• Lab 4:

  • Hough and Radon Transform

• Lab 5:

  • Segmentation by Thresholding

  • Object Recognition

• Lab 6:

  • Digital image processing in practice

We are going to take a step into the world of Image Processing using python. In order to do that, you should know the basics of Python. Please go through the following section before attending labs. Necessary information for completing all labs will be provided here. If you have any questions please contact novozamsky@utia.cas.cz

The exercises will be in Czech, but all materials and texts will be in English.

Zoom account - the webcam will be on !

GitHub account

Gmail account for Colab is recommended

Browser

You should know:

• Python code structure, variables, functions, conditions, loops

• Containers: tuple, list, set, dict

• Object oriented programming

• Packages: Numpy, Matplotlib

At the beginning of every lab session, join Zoom Meeting, where you receive a link for a GitHub classroom assignment. It contains all codes for online/offline studying.

1. Zoom link: https://cuni-cz.zoom.us/j/91367957348

2. Get a link from your teacher, e.g. https://classroom.github.com/a/YspbK****

3. Sign in to GitHub

   • What is GitHub?

   • New to GitHub? Create an account.

   • Start using GitHub.

4. If necessary, click on the "Authorize GitHub Classroom" button

5. Find your name in the list (only for the first assignment)

6. Click on "Accept the assignment"

7. Go to colab.research.google.com

8. Click on "Authorize Google Colab"

9. Click on "GitHub" (or File > Open Notebook > GitHub)

10. Type your GitHub user name (check "Include private repos")

11. Find the desired repository and the notebook file

12. Loading (In case of "Error", press "Retry")

13. If necessary, click on the "Authorize with GitHub" button

14. Edit the notebook, finish excercises

15. Save in GitHub (File > Save a copy in GitHub)