报告题目：An active contour model with local variance force term and its efficient minimization solver for multi-phase image segmentation
报告人：乔中华 教授（香港理工大学）
邀请人：宋怀玲
时间：5月27日上午10:00-11:00
腾讯会议：695-576-771（无密码）
报告摘要：In this work, we propose an active contour model with a local variance force (LVF) term that can be applied to multi-phase image segmentation problems. With the LVF, the proposed model is very effective in the segmentation of images with noise. To solve this model efficiently, we represent the regularization term by characteristic functions and then design a minimization algorithm based on a modification of the iterative convolution-thresholding method (ICTM), namely ICTM-LVF. This minimization algorithm enjoys the energy-decaying property under some conditions and has highly efficient performance in the segmentation. To overcome the initialization issue of active contour models, we generalize the inhomogeneous graph Laplacian initialization method (IGLIM) to the multi-phase case and then apply it to give the initial contour of the ICTM-LVF solver. Numerical experiments are conducted on synthetic images and real images to demonstrate the capability of our initialization method, and the effectiveness of the local variance force for noise robustness in the multi-phase image segmentation.
报告人简介：
乔中华，香港理工大学教授。2006 年在香港浸会大学获得博士学位。主要从事数值微分方程方面算法设计及分析，特别是相场方程的数值模拟及计算流体力学的高效算法。至今在SIAM Rev、SIAM J.Numer.Anal、SIAM J. Sci Comp、Numer Math、Math Comp、J. Comp Phys 等计算数学顶级期刊上发表学术论文60 余篇，文章被合计引用1200 余次。2013 年获香港研究资助局颁发的杰出青年学者奖，2018 年获得香港数学会青年学者奖，2020 年获得香港研究资助局研究学者奖。
