S
Songcan Chen
Researcher at Nanjing University of Aeronautics and Astronautics
Publications - 318
Citations - 13619
Songcan Chen is an academic researcher from Nanjing University of Aeronautics and Astronautics. The author has contributed to research in topics: Computer science & Facial recognition system. The author has an hindex of 52, co-authored 292 publications receiving 11868 citations. Previous affiliations of Songcan Chen include Ministry of Industry and Information Technology of the People's Republic of China & Nanjing University.
Papers
More filters
Journal ArticleDOI
Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure
Songcan Chen,Daoqiang Zhang +1 more
TL;DR: Two variants of fuzzy c-means clustering with spatial constraints, using the kernel methods, are proposed, inducing a class of robust non-Euclidean distance measures for the original data space to derive new objective functions and thus clustering theNon-E Euclidean structures in data.
Journal ArticleDOI
Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation
TL;DR: By incorporating local spatial and gray information together, a novel fast and robust FCM framework for image segmentation, i.e., fast generalized fuzzy c-means (FGFCM) clustering algorithms, is proposed and can mitigate the disadvantages of FCM_S and at the same time enhances the clustering performance.
Journal ArticleDOI
Sparsity preserving projections with applications to face recognition
TL;DR: A new unsupervised DR method called sparsity preserving projections (SPP), which aims to preserve the sparse reconstructive relationship of the data, which is achieved by minimizing a L1 regularization-related objective function.
Journal ArticleDOI
Face recognition from a single image per person: A survey
TL;DR: Categorize and evaluate face recognition algorithms that rely heavily on the size and representative of training set, and the prominent algorithms are described and critically analyzed.
Journal ArticleDOI
A novel kernelized fuzzy C-means algorithm with application in medical image segmentation
Daoqiang Zhang,Songcan Chen +1 more
TL;DR: A novel algorithm for fuzzy segmentation of magnetic resonance imaging (MRI) data is presented using a kernel-induced distance metric and a spatial penalty on the membership functions to compensate for the intensity inhomogeneities of MR image.