Siirry suoraan sisältöön

Image Processing with Matlab (3 cr)

Code: TI00CJ15-3005

General information


Enrollment

02.05.2019 - 04.08.2019

Timing

05.08.2019 - 09.08.2019

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

ICT ja tuotantotalous

Campus

Leiritie 1

Teaching languages

  • English

Seats

0 - 24

Degree programmes

  • Degree Programme in Information Technology
  • Tieto- ja viestintätekniikan tutkinto-ohjelma

Teachers

  • Antti Piironen
  • Hiroyuki Aoki

Groups

  • ICTSUMMER
    ICT Summer School

Objective

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.

Content

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

Further information

Summer School course

Evaluation scale

Hyväksytty/Hylätty

Assessment criteria, satisfactory (1)

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

Assessment criteria, good (3)

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

Assessment criteria, excellent (5)

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.

Assessment criteria, approved/failed

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

Qualifications

Fundamental engineering mathematics