个人简历

方江雄，男，1980年8月出生于湖北黄梅县，副教授，博士，2012年5月毕业于上海交通大学图像处理与模式识别研究所

研究领域

机器视觉、凸优化理论和地球物理仪器

近期论文

1、Jiangxiong Fang, Hesheng Liu*, Huaxiang Liu, Liting Zhang, and Jun Liu. Localized patch-based fuzzy active contours for image segmentation, Computational and Mathematical Methods in Medicine.(Accepted)
2、Jiangxiong Fang*，Hesheng Liu*, Huaxiang Liu, Liting Zhang, Jun Liu, Huaiqiang Zhang, Congxin Liu. Multiresolution convex variational model for multiphase image segmentation. Computers & Electrical Engineering. (In Press)
3、H. X. Liu, J. X. Fang*, and Jun Liu. Local kernel-induced fitting variational model for MRI image segmentation, Journal of Medical Imaging and Health Informatics, 1013–1019 , 2016.
4、Jiangxiong Fang*, J. Yang, E. M. Tu, Z.H. Jia, and N. Kasabov, C. Y. Liu. Statistical approaches to automatic level set image segmentation with multiple regions, Optical Engineering, 50(10), 107001, 2011. (SCI)
5、J. X. Fang*, J. Yang, E. M. Tu, Z.H. Jia, and N. Kasabov. Narrow band multi-region level set method for remote sensing image segmentation, Spectroscopy and Spectral Analysis, 31(11), 3001-3005, 2011. (SCI)
6、J. X. Fang*, J. Yang, E. M. Tu, Z. H. Jia, and N. Kasabov. Efficient multiresolution level set image segmentation with multiple regions, Optical Engineering, 50(6), 067005, 2011. (SCI)
7、J. X. Fang*, J. Yang, E. M. Tu, Z.H. Jia, and N. Kasabov. Multilayer level set method for multiregion image segmentation, Optical Engineering, 50(6), 067013, 2011. (SCI)
8、J. X. Fang*, J. Yang, H. X. Liu. Efficient and robust fragments-based multiple kernels tracking. International Journal of Electronics and Communications (AEU), 65, 915-923, 2011. (SCI)
9、J. X. Fang*, J. Yang, and H. X. Liu. Robust fragments-based tracking with adaptive feature selection, Optical Engineering, 49(08), 087201, 2010. (SCI)
10、J. Lv*, J. X. Fang, and J. Yang. Online two-stage association method for robust multiple people tracking, Optical Engineering, 50(7), 077207, 2011. (SCI)
11、Q. Wu and J. X. Fang*. Parametric Kernel-driven Active Contours for Image segmentation，Journal of Electronic Imaging, 21(4), 043015, 2012. (SCI)
12、E. M Tu, J. Yang, J. X. Fang, Z.H. Jia, and N. Kasabov. An experimental comparison of semi-supervised learning algorithms for multispectral image classification. Photogra- metric Engineering and Remote Sensing, 79(4), 347-357, 2013.(SCI)