Machine vision and image analysis

We exploit the capacity of astonishing recent rates of development in computing power and imaging capabilities to yield exciting new prospects and expose new frontiers of discovery.

Computing power and imaging capabilities have been developing at astonishing rates in recent years. Combining advances in these two areas can yield exciting new prospects and expose new frontiers of discovery.

Manchester has a rich and diverse programme of exploration in this field, with key areas of research including:

• Studying human colour vision applying psychophysics and computational analysis with hyperspectral images of natural scenes.
• Applying image processing, machine learning and mathematical modelling techniques to modern ophthalmic imaging to provide objective biomarkers, stratify clinical disease and aid in management decisions.
• Image processing and recognition techniques including deep learning for a variety of image analysis tasks such as texture modelling, segmentation, face recognition, facial expression.
• Deep learning to classify density in mammograms to study risk factors in the development of breast cancer.