On this page, you should find all the information about exercises of the Digital Image Processing course.
Evaluation - how can you earn a credit
During the exercises, we will cover some topic of digital image processing. Your task is complete them and handover them for final grading.
| Task | Points |
| Convolution | 2 |
| Anisotropic diffusion | 4 |
| Discrete Fourier Transform | 4 |
| Inverse Discrete Fourier Transform | 3 |
| Filtering in frequency domain | 4 |
| Lens distortion removal | 4 |
| Histogram equalization | 2 |
| Projective transform | 5 |
| Edge detection | 2 |
| Edge thinning | 3 |
| Double thresholding | 4 |
| Backprojection | 3 |
Other sources
A simple tutorial describing how to program with the OpenCV is provided in the following link: Introduction to OpenCV
Exercise 1
You can use a project for the Visual Studio 2017 in the Windows environment to code the exercise.
You can use a project for the Visual Studio Code in the Linux environment to code the exercise.
First, install these two VSCode extensions:
code --install-extension ms-vscode.cpptools
code --install-extension ms-vscode.cmake-tools
You can find a color image of Lena that we can use for our experiments. It's included in our project.
You can also read explanatory text that describes the first exercise in detail. Basic operations with images are described.
Grayscale image Moon that we can use for our experiments with Gamma correction and contrast enhancement.
Course materials
The rest of course materials are available at the dedicated page.