Registration-Based Image Segmentation Models
数学专题报告
报告题目(Title)：Registration-Based Image Segmentation Models
报告人(Speaker)：张道平（南开大学）
地点(Place)：后主楼1124
时间(Time)：2025年11月7日（周五）17:00-18:00
邀请人(Inviter)：段玉萍
报告摘要
Image segmentation is to extract meaningful objects from a given image. For degraded images due to occlusions, obscurities or noises, the accuracy of the segmentation result can be severely affected. To alleviate this problem, prior information about the target object is usually introduced. In Chan et al. (J Math Imaging Vis 60(3): 401-421, 2018), a topology-preserving registration-based segmentation model was proposed, which is restricted to segment 2D images only. In this talk, we will talk about the registration-based 3D segmentation, convexity segmentation, star-shape segmentation and selective segmentation.
主讲人简介
张道平，南开大学数学科学学院副教授，分别于 2012 年和 2019 年在大连理工大学和英国利物浦大学获得学士和博士学位。曾在香港中文大学从事博士后研究工作。2021 年加入南开大学数学科学学院。研究兴趣包括图像处理及其优化算法。近年来在国际图像科学及计算数学知名杂志比如 SIAM Journal on Imaging Sciences, Multiscale Modeling and Simulation, Journal of Mathematical Imaging and Vision, Journal of Scientific Computing 等上发表多篇学术论文。主持国家自然科学基金青年项目一项，参与国家自然科学基金面上项目一项。
