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SUMMARY:Wavelet-based Segmentation on the Sphere and the Application of MC
 MC Method in Radio Interferometry - Xiaohao Cai\, Mullard Space Science La
 boratory\, University College London
DTSTART:20160603T150000Z
DTEND:20160603T160000Z
UID:TALK66258@talks.cam.ac.uk
CONTACT:Matthias J. Ehrhardt
DESCRIPTION:Wavelets has been used successfully in various problems in ima
 ge processing\, including inpainting\, noise removal\, super-resolution im
 age restoration\, etc. Wavelets on the sphere have been developed to solve
  such problems for data defined on the sphere\, which arise in numerous ap
 plications\, including cosmology and geophysics\, for example. Segmentatio
 n is the process of identifying object outlines within images. There are q
 uite a few efficient algorithms for segmentation that depend on the variat
 ional approach and the partial differential equation (PDE) modelling. In t
 his talk\, I will introduce a way to extend the tight-frame based segmenta
 tion method\, automatically identifying tube-like structures such as blood
  vessels in medical images\, to segment images on the sphere. I will also 
 review the Proximal Markov chain Monte Carlo (MCMC) method\, and talk abou
 t its application in Radio Interferometry.
LOCATION:MR 14\, Centre for Mathematical Sciences
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