CT image processing: problems and solutions


Topic:CT image processing: problems and solutions

Speaker: Professor Li Hongwei

Event date: 1/11/2019

Event time: 10:00 a.m.

Venue: Lecture Hall 204, Building 9

Sponsor: School of Mathematics and Statistics, Institute of Science and Technology

Abstract: In this talk, I will give a brief introduction to our Lab first. Then I will talk about the image processing problems involved in CT applications, including image denoising, image enhancement, artifacts removal and image segmentation.  A Modified ROF model shall be introduced to handle Poisson-like noise, which is assumed to be more realistic for projection data. For image enhancement, a simple Laplacian-pyramid based morphological filtering will be proposed which beats other popular approaches in terms of both efficiency and effectiveness. For image segmentation, we propose a continuous Random Walker model which improves the traditional Random Walker algorithm.  I would also like to talk about the limited angle tomography problem if time allows.