Yangyang Song, lecturer, College of Science,
Northwest A&F University
Sex: Female
E-mail: songyy@nwsuaf.edu.cn
Working Address: No. 22 Xinong Road, Yangling, Shaanxi,712100, P.R. China
Education Background
· Mar., 2021 Doctor’s degree Mathematics, Northwestern Polytechnical University, Xi’an City, P.R.China
· Jul., 2017 M.S. degree in Applied Mathematics, Northwest A&F University, Yangling, P.R. China
· Jul., 2014 B.S. degree in Statistics, Qufu Normal University, Qufu, P.R. China
Employment Experience
Ÿ 2021-present lecturer in College of Science, Northwest A&F University
Research Fields
Ÿ digital image processing, including image segmentation, image denoising and image super-resolution reconstruction.
Courses Offered
Ÿ Probability Theory
Ÿ Numerical linear algebra
Research Projects
Ÿ Research on image segmentation model based on distance measurement between pixels----A doctoral research startup project, 2021-2023.
Articles:
[1]Yangyang Song, Guahua Peng, et al. “Active contours driven by Gaussian function and adaptive-scale local correntropy-based K-means clustering for fast image segmentation”[J]. Signal Processing , 2020. (IF = 3.555)
[2]Yangyang Song, Guohua Peng. “Fast two-stage segmentation model for images with intensity inhomougeneous” [J]. T he Visual Computer , 2019. (IF = 1.306)
[3]Yangyang Song, Guohua Peng. “Improving the Convergence of Local binary fitting Energy for Image Segmentation”[100]. 11th International Conference on Graphics and Image Processing , 2018 (EI).
[4]Yangyang Song, Xiaozhen Xie. “Fast Two-stage Segmentation Based on Local Correntropy-Based K-means Clustering”. T he 9th IEEE International Communication Software and Networks , 2017 (EI).