Multidimensional registration of x-ray image and CT image. - Hui Zhang 015; Pascal Haigron; Huazhong Shu; Limin Luo 001 (Image-Guided Procedures, 2003)

Mesh Simplification Based on Shading Characteristic. - Hui Zhang 015; Huazhong Shu; Limin Luo 001 (WSCG, 2003)

An efficient method for the exact computation of Legendre moments of binary images. - Zhifang Dong; Hui Zhang 015; Huazhong Shu (DPS, 2009)

Object recognition by a complete set of pseudo-Zernike moment invariants. - Hui Zhang 015; Zhifang Dong; Huazhong Shu (ICASSP, 2010)

Symmetric image recognition by Tchebichef moment invariants. - Hui Zhang 015; Xiubin Dai; Pei Sun; Hongqing Zhu; Huazhong Shu (ICIP, 2010)

Color Image Analysis by Quaternion Zernike Moments. - Beijing Chen; Huazhong Shu; Hui Zhang 015; Gang Chen; Limin Luo 001 (ICPR, 2010)

Image registration by blur and rotation invariants of Legendre moments. - Hui Zhang 015; Xiubing Dai; Huazhong Shu (VCIP, 2010)

Construction of a complete set of orthogonal Fourier-Mellin moment invariants for pattern recognition applications. - Hui Zhang 015; Huazhong Shu; Pascal Haigron; Bao-Sheng Li; Limin Luo 001 (Image Vis. Comput., 2010)

Fast Computation of Tchebichef Moments for Binary and Grayscale Images. - Huazhong Shu; Hui Zhang 015; Beijing Chen; Pascal Haigron; Limin Luo 001 (IEEE Trans. Image Process., 2010)

Blurred Image Recognition by Legendre Moment Invariants. - Hui Zhang 015; Huazhong Shu; Guo-Niu Han; Gouenou Coatrieux; Limin Luo 001; Jean-Louis Coatrieux (IEEE Trans. Image Process., 2010)

Pattern recognition by affine Legendre moment invariants. - Hui Zhang 015; Q. M. Jonathan Wu (ICIP, 2011)

Image Description with nonseparable Two-Dimensional Charlier and Meixner Moments. - Hongqing Zhu; Min Liu; Yu Li; Huazhong Shu; Hui Zhang 015 (Int. J. Pattern Recognit. Artif. Intell., 2011)

Combined Invariants to Similarity Transformation and to Blur Using Orthogonal Zernike Moments. - Beijing Chen; Huazhong Shu; Hui Zhang 015; Gouenou Coatrieux; Limin Luo 001; Jean-Louis Coatrieux (IEEE Trans. Image Process., 2011)

Affine Legendre Moment Invariants for Image Watermarking Robust to Geometric Distortions. - Hui Zhang 015; Huazhong Shu; Gouenou Coatrieux; Jie Zhu; Q. M. Jonathan Wu; Yue Zhang; Hongqing Zhu; Limin Luo 001 (IEEE Trans. Image Process., 2011)

Bayesian feature selection and model detection for student's t-mixture distributions. - Hui Zhang 015; Q. M. Jonathan Wu; Thanh Minh Nguyen 001 (ICPR, 2012)

Quaternion Zernike moments and their invariants for color image analysis and object recognition. - Beijing Chen; Huazhong Shu; Hui Zhang 015; Gang Chen; Christine Toumoulin; Jean-Louis Dillenseger; Limin Luo 001 (Signal Process., 2012)

Image segmentation by a robust Modified Gaussian Mixture Model. - Hui Zhang 015; Q. M. Jonathan Wu; Thanh Minh Nguyen 001 (ICASSP, 2013)

Bounded asymmetric mixture model for medical image segmentation. - Thanh Minh Nguyen 001; Q. M. Jonathan Wu; Dibyendu Mukherjee; Hui Zhang 015 (ICASSP, 2013)

A detail-preserving mixture model for image segmentation. - Thanh Minh Nguyen 001; Q. M. Jonathan Wu; Dibyendu Mukherjee; Hui Zhang 015 (ICASSP, 2013)

An effective fuzzy clustering algorithm for image segmentation. - Hui Zhang 015; Q. M. Jonathan Wu; Thanh Minh Nguyen 001 (ICASSP, 2013)

Image segmentation by a robust generalized fuzzy c-means algorithm. - Hui Zhang 015; Q. M. Jonathan Wu; Thanh Minh Nguyen 001 (ICIP, 2013)

A Centralized Clustering Geographic Energy Aware Routing for Wireless Sensor Networks. - Bo Tang; Dingcheng Wang; Hui Zhang 015 (SMC, 2013)

Image segmentation by a new weighted student's t-mixture model. - Hui Zhang 015; Q. M. Jonathan Wu; Thanh Minh Nguyen 001 (IET Image Process., 2013)

Modified student's t-hidden Markov model for pattern recognition and classification. - Hui Zhang 015; Qingming Jonathan Wu; Thanh Minh Nguyen 001 (IET Signal Process., 2013)

Variational Bayes and Localized Feature Selection for Student's T-Mixture Models. - Hui Zhang 015; Q. M. Jonathan Wu; Thanh Minh Nguyen 001 (Int. J. Pattern Recognit. Artif. Intell., 2013)

A finite mixture model for detail-preserving image segmentation. - Thanh Minh Nguyen 001; Q. M. Jonathan Wu; Dibyendu Mukherjee; Hui Zhang 015 (Signal Process., 2013)

A Robust Fuzzy Algorithm Based on Student's t-Distribution and Mean Template for Image Segmentation Application. - Hui Zhang 015; Q. M. Jonathan Wu; Thanh Minh Nguyen 001 (IEEE Signal Process. Lett., 2013)

Incorporating Mean Template Into Finite Mixture Model for Image Segmentation. - Hui Zhang 015; Q. M. Jonathan Wu; Thanh Minh Nguyen 001 (IEEE Trans. Neural Networks Learn. Syst., 2013)

Image segmentation by dirichlet process mixture model with generalised mean. - Hui Zhang 015; Q. M. Jonathan Wu; Thanh Minh Nguyen 001 (IET Image Process., 2014)

Effective fuzzy clustering algorithm with Bayesian model and mean template for image segmentation. - Hui Zhang 015; Q. M. Jonathan Wu; Yuhui Zheng; Thanh Minh Nguyen 001; Dingcheng Wang (IET Image Process., 2014)

Legendre moment invariants to blur and affine transformation and their use in image recognition. - Xiubin Dai; Hui Zhang 015; Tianliang Liu; Huazhong Shu; Limin Luo 001 (Pattern Anal. Appl., 2014)

Bounded generalized Gaussian mixture model. - Thanh Minh Nguyen 001; Q. M. Jonathan Wu; Hui Zhang 015 (Pattern Recognit., 2014)

Synthetic Aperture Radar Image Segmentation by Modified Student's t-Mixture Model. - Hui Zhang 015; Q. M. Jonathan Wu; Thanh Minh Nguyen 001; Xingming Sun (IEEE Trans. Geosci. Remote. Sens., 2014)

A Bayesian Bounded Asymmetric Mixture Model With Segmentation Application. - Thanh Minh Nguyen 001; Q. M. Jonathan Wu; Dibyendu Mukherjee; Hui Zhang 015 (IEEE J. Biomed. Health Informatics, 2014)

Image segmentation by generalized hierarchical fuzzy C-means algorithm. - Yuhui Zheng; Byeungwoo Jeon; Danhua Xu; Q. M. Jonathan Wu; Hui Zhang 015 (J. Intell. Fuzzy Syst., 2015)

Asymmetric Mixture Model With Simultaneous Feature Selection and Model Detection. - Thanh Minh Nguyen 001; Q. M. Jonathan Wu; Hui Zhang 015 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Two Fast and Robust Modified Gaussian Mixture Models Incorporating Local Spatial Information for Image Segmentation. - Hui Zhang 015; Tian Wen; Yuhui Zheng; Danhua Xu; Dingcheng Wang; Thanh Minh Nguyen 001; Q. M. Jonathan Wu (J. Signal Process. Syst., 2015)

Non-local-based spatially constrained hierarchical fuzzy C-means method for brain magnetic resonance imaging segmentation. - Yunjie Chen; Jian Li; Hui Zhang 015; Yuhui Zheng; Byeungwoo Jeon; Qingming Jonathan Wu (IET Image Process., 2016)

An improved anisotropic hierarchical fuzzy c-means method based on multivariate student t-distribution for brain MRI segmentation. - Yunjie Chen; Hui Zhang 015; Yuhui Zheng; Byeungwoo Jeon; Q. M. Jonathan Wu (Pattern Recognit., 2016)

Image segmentation using a hierarchical student's-t mixture model. - Lingcheng Kong; Hui Zhang 015; Yuhui Zheng; Yunjie Chen; Jiezhong Zhu; Qingming Jonathan Wu (IET Image Process., 2017)

Student's t-Hidden Markov Model for Unsupervised Learning Using Localized Feature Selection. - Yuhui Zheng; Byeungwoo Jeon; Le Sun 002; Jianwei Zhang 005; Hui Zhang 015 (IEEE Trans. Circuits Syst. Video Technol., 2018)

A Hierarchical Student's t-Distributions Based Unsupervised SAR Image Segmentation Method. - Yuhui Zheng; Yahui Sun 003; Le Sun 002; Hui Zhang 015; Byeungwoo Jeon (IScIDE (1), 2019)

Segmentation of Brain MR Image Using Modified Student's t-Mixture Model. - Qiang Huang; Yinglei Yu; Tian Wen; Jianwei Zhang 005; Zhangjing Yang; Fanlong Zhang; Hui Zhang 015 (J. Medical Imaging Health Informatics, 2021)