Course Summary
This course will introduce you to biomedical applications of image enhancement, image restoration, adaptive filtering of audio signals, and machine learning.
The theory presented in the pre-recorded lectures will be applied to solve practical problems in laboratory sessions. The laboratory assignments will introduce advanced computational methods for biomedical imaging and analysis based on MATLAB biomedical signal processing tools.
Topics to be investigated include:
- Introduction to biomedical image processing
- Colour images
- Image filtering, enhancement, and de-blurring
- Image restoration, segmentation, and edge detection
- Adaptive filtering and source separation
- Hearing aids
- Machine learning for supervised data classification
- Machine Learning for unsupervised data clustering
- Fundamentals of neural network modelling methods
If you are enrolled in this course as a component of your Bachelor Honours Program, your overall mark will contribute to the calculation of the weighted average mark (WAM).