报告题目：Efficient and Stable Exponential Time Differencing Runge-Kutta Methods for Phase Field Elastic 
Bending Energy Models

报告人：王小强

时间：2018年03月12日下午4:00

地点：汇贤楼109教室

主办单位：数学科学学院

报告摘要：

Centroidal Voronoi tessellations (CVTs) are special Voronoi tessellations having the property that 

the generators of the Voronoi tessellation are also the centers of mass, with respect to a given 

density function, of the corresponding Voronoi cells. In this talk, we will extend the classic CVT 

methods to the Edge-weighted CVT and apply it to the image segmentation. It shows great advantage 

compared to other image segmentation algorithms. We will further extend it to the Local Variation-EWCVT, 

which can be used to handle the non-homogeneous images. And we will also apply EWCVT to the Superpixels. 

Experiments and results will be given in this talk.

个人简介：

王小强，男，1974年生， 2005年毕业于Pennsylvania State University，获理学博士学位，现为Florida State 

University科学计算系副教授，主要从事数学生物、大数据与数据挖掘、图像处理和高性能科学计算等研究，在

《Journal of Computational Physics》、《Physica D》、《SIAM J. Math. Anal.》及

《IEEE Transactions on Image Processing》等著名数学SCI期刊发表科研论文20余篇。