Machine Vision and Image Processing - Module CE5011 Programme content

During this module, you will:

• Build an understanding in image formation, camera basics and how digital images are represented, processed and analysed.
• Apply linear image processing techniques such as smoothing and sharpening, along with morphological operations and edge detection algorithms like Canny and Hough Transform.
• Explore advanced feature detection, including Harris Corner Detection and SIFT descriptors, enabling object tracking and scene analysis.
• Understand how machine learning is applied in vision systems, through the classical Viola Jones and HOG object detectors, including an introduction to Deep learning with CNN classifiers.

Key Information

This micro-credential will be delivered online over 6 weeks.

You will be assessed using continuous skill-based assignments with no final exam.

Part-time considerations:

• Designed for working professionals
• Evening or recorded lectures
• Additional prep and group work time through form activities, individual learning via coding assignments, and peer learning through forum discussions.
• Timetable provided after registration