The University of British Columbia

3 Credits

EECE 570

Course Structure:
The course material will be presented through a combination of formal lectures, group readings and discussions, homework-based labs, onsite visits and project work.

Learning Objectives:
By the end of the course, you will

• develop a solid understanding of digital processing and analysis of higher dimensional signals
• learn the fundamental of image capture and acquisition
• understand how to represent high dimensional data in spatial and frequency domains
• perform low level image processing such as denoising, enhancement and restoration
• perform high level image analysis such as object localization and modeling
• compare and evaluate state-of-the-art techniques in multi-dimensional data computing
• appreciate the latest research developments in the related area
• develop some experience with real life practical applications

Course Outline:
Fundamentals

• elements of visual perception, image acquisition systems
• image representation, image coding
• image enhancement in the spatial and frequency domains
• color and morphological image processing
• image restoration

Advanced

• feature extraction, object recognition
• shape representation and object modeling including: explicit and implicit models, statistical models, medical representations
• image segmentation including: deformable models, graph based approaches
• image registration
• motion analysis

Applications and Practice

• real life applications e.g. medical imaging, industrial automation, and multi-media processing
• on-site visit
• invited speakers