Image Processing with Matlab (3 op)

Tavoitteet

Knowledge and understanding:
The student will know filtering in both the spatial domain and the frequency domain through exercising mathematical calculation such as convolution and the Discrete Fourier Transform, applying their knowledge to edge detection, image enhancement, noise reduction and so on, including lowpass filtering and highpass filtering.

Skills:
The student is able to understand basic image processing techniques and use MATLAB programs for them.

Sisältö

Core content level:
How to handle Digital Images in MATLAB, Intensity Transformations, Geometric Spatial Transformations, Linear Spatial Filtering, Nonlinear Spatial Filtering, Convolution, Complex valued plane, Euler’s formula, the Discrete Fourier Transform, Noise Reduction, Lowpass Filtering, Highpass Filtering

Additional content:
Image Restoration

Esitietovaatimukset

Fundamental engineering mathematics

Lisätietoja opiskelijoille

Summer School kurssi

Arviointiasteikko

Hyväksytty/Hylätty

Arviointikriteerit arvosanalle 1 tyydyttävä

The student understands filtering in both the spatial domain and the frequency domain after performing mathematical calculation exercises.

Arviointikriteerit arvosanalle 3 hyvä

The student can apply filtering in both the spatial domain and the frequency domain after performing mathematical calculation exercises.

Arviointikriteerit arvosanalle 5 kiitettävä

The student can apply filtering in both the spatial domain and the frequency domain via the Fourier Transform and utilize those methods in edge detection, image enhancement and noise reduction, including lowpass filtering and highpass filtering.

Arviointikriteerit arvosanalle hyväksytty

The student understands filtering in both the spatial domain and the frequency domain. / The student does not understand filtering.