Image Processing and Computer Vision are closely related fields that focus on enabling computers to interpret and manipulate visual information from the world around them.

Computer vision aims to enable machines to “see” and understand visual content in a way that mimics human vision. It involves extracting meaningful information from images or video—such as recognising faces, identifying objects, tracking movement, or reconstructing 3D environments. Computer vision systems use advanced algorithms, including those based on machine learning and artificial intelligence, to interpret complex visual data and make decisions.

Current Areas of Computer Vision research in MISHE include:

• Analysis and diagnostics of medical images.
• Vision-based perception systems for robotics and autonomous vehicles.
• Vision-based surveying and mapping of ocean and coastal environments.

Principal Investigators involved in this research area include: