自动化工程系

翁桂荣

时间:2019-03-11来源:机电学院点击:5435

机电工程学院个人科研情况简表

机电工程学院自动化系

姓名: 翁桂荣

性别:

出生年月:1963


学历:本科  学位:学士

职称/导师类别:教授

毕业学校: 南京理工大学

学科专业: 无线电

主要研究

方向

生物信息处理

图像处理


科研工作简历

教授,研究生导师,中国电子学会高级会员,江苏省自动化学会常务理事。从事生物信息及图像处理方面的工作。近五年来,以第一及通讯作者为名共发表SCI论文二篇论文,其中SCI顶级论文十余篇。负责及参与多项国家、省级科研项目。

学术成果

(论文、著作、获奖、专利等情况)

1Hybrid active contour model driven by optimized local pre-fitting image energy for fast image segmentation. Applied Mathematical Modelling. Volume 101, January 2022,586-599SCIToP.


2A level set method based on additive bias correction for image segmentation

Expert Systems With Applications. 185 (2021) 115633SCI一区ToP.


3A new active contour model driven by pre-fitting bias field estimation and clustering technique for image segmentation.Engineering Applications of Artificial Intelligence 104 (2021) 104299SCIToP.


4Active contour model driven by Self Organizing Maps for image segmentation. Expert Systems With Applications 177(2021) SCI一区ToP.


6Robust active contours driven by order-statistic filtering energy for fast image segmentation. Knowledge-Based Systems, 197 (2020) SCI一区ToP.


7Active contours driven by adaptive and fuzzy c-means energy for fast image segmentation.Signal Processing,163(2019),SCI一区ToP.


8A robust active contour model driven by pre-fitting bias correction and optimized fuzzy c-means algorithm for fast image segmentation. Neurocomputing, 359(24)(2019), SCI二区ToP.


  1. Active contour model based on improved fuzzy c-means algorithm and adaptive functions. Computers and Mathematics with Applications.78(2019)SCI二区ToP.



在研项目


需 求


联系方式

wgr@suda.edu.cn

 202210月 1