时间： 　　2017年1月12日下午 3:00 – 4:00 

地点： 　　深圳大学医学院725会议室

主持人：   倪东 副教授

单位：医学超声关键技术国家地方联合工程实验室、广东省生物信息检测与医学超声成像重点实验

报告内容简介： 

Mathematical imaging is not only a multidisciplinary research area but also a major cross-discipline subject within mathematical sciences as  image analysis techniques involve analysis, optimization, differential geometry and nonlinear partial differential equations, computational algorithms and numerical analysis.

In this talk I review various models and techniques in the variational framework that are used for segmentation of images. The particular problem of detecting local features in a large image is highlighted, as it becomes increasingly useful in a number of applications. Then I discuss some of our recent work on this local segmentation problem modelled by energy minimization and non-linear partial differential equations (PDEs).  A model from reformulating a non-convex and local functional as a convex one is presented. Finally I show some work towards segmentation of blurred images in the framework of joint deblurring and segmentation.Some test results are given to illustrate the models presented

报告嘉宾简介：

陈柯(Chen Ke)教授，博士生导师，担任如下职务：

利物浦大学数字图像技术研究中心主任(Director of Centre for Mathematical Imaging Techniques)，

英国国家工程和自然科学研究委员会利物浦医疗健康数学中心主任(Director of EPSRC Liverpool Centre for Mathematics in Healthcare).

皇家御批数学家（Chartered Mathematician）.

辽宁省百人计划入选者。

曾任英国利物浦大学(University of Liverpool, UK) 数学科学系主任和大连理工大学海天学者。

杂志: Numerical Algorithms、International Journal of Computer Mathematics、Journal of Mathematical Research with Applications、 Journal of Applied Mathematics等编委。

研究领域：数值线性代数、微分方程的数值解法，数值优化和快速计算、图像模型与数值分析。先后主持英国12个研究项目，目前负责2项（1.3百万2013-2017和2.5百万英镑2015-2019）英国大型国家项目。发表杂志论文120篇，出版专著1部。