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DAMTP - Cambridge Image Analysis

We are interested in all aspects of mathematical imaging: the use of mathematical techniques to reconstruct, analyse and to improve real-world images, ranging from photographs made with consumer cameras to the images made with professional imaging devices in the sciences and medicine.


The Cambridge Image Analysis Group (CIA) at the Department of Applied Mathematics and Theoretical Physics (DAMTP) specialises in the mathematics of digital image and video processing using partial differential equations and variational methods. 

In particular, we are interested in
- Image retrieval and enhancement from corrupted and under sampled measurements
- Compressed sensing
- Sparsity promoting regularisation such as total variation and higher-order regularisation
- Image restoration
- Image segmentation and object tracking
- Large scale computing
- Applications in processing of photographs, biomedical imaging (MRI, PET/SPECT, microscopy imaging), arts restoration, forensics, just to name a few. 

For more details see our Research page http://www.damtp.cam.ac.uk/research/cia/research/

This group is mainly funded by KAUST, EPSRC, the Leverhulme Trust, the Newton Trust and the Royal Society.  

Members of the group: http://www.damtp.cam.ac.uk/research/cia/people/


Image segmentation - isolating objects of interest in images:

Image segmentation - isolating objects of interest in images:

Image segmentation problems appear in areas such as image editing (separating foreground from background, merging multiple images), medical applications (separating gray and white matter, finding structures in medical images), and biological imaging (finding cells and nuclei, detecting cancerous cells).

Image segmentation - isolating objects of interest in images: - Read More…