Hui Zhang

Affiliations:
  • Nanjing University of Information Science and Technology, School of Computer and Software, China
  • Nanjing University of Information Science and Technology, Jiangsu Engineering Center of Network Monitoring, China
  • University of Windsor, Department of Electrical and Computer Engineering, ON, Canada (2011 - 2013)
  • Southeast University, Nanjing, China (PhD 2010)


According to our database1, Hui Zhang authored at least 42 papers between 2003 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2019
A Hierarchical Student's t-Distributions Based Unsupervised SAR Image Segmentation Method.
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019

2018
Student's t-Hidden Markov Model for Unsupervised Learning Using Localized Feature Selection.
IEEE Trans. Circuits Syst. Video Technol., 2018

2017
Image segmentation using a hierarchical student's-<i>t</i> mixture model.
IET Image Process., 2017

2016
An improved anisotropic hierarchical fuzzy c-means method based on multivariate student t-distribution for brain MRI segmentation.
Pattern Recognit., 2016

Non-local-based spatially constrained hierarchical fuzzy <i>C</i>-means method for brain magnetic resonance imaging segmentation.
IET Image Process., 2016

2015
Two Fast and Robust Modified Gaussian Mixture Models Incorporating Local Spatial Information for Image Segmentation.
J. Signal Process. Syst., 2015

Asymmetric Mixture Model With Simultaneous Feature Selection and Model Detection.
IEEE Trans. Neural Networks Learn. Syst., 2015

Image segmentation by generalized hierarchical fuzzy C-means algorithm.
J. Intell. Fuzzy Syst., 2015

2014
A Bayesian Bounded Asymmetric Mixture Model With Segmentation Application.
IEEE J. Biomed. Health Informatics, 2014

Synthetic Aperture Radar Image Segmentation by Modified Student's t-Mixture Model.
IEEE Trans. Geosci. Remote. Sens., 2014

Bounded generalized Gaussian mixture model.
Pattern Recognit., 2014

Legendre moment invariants to blur and affine transformation and their use in image recognition.
Pattern Anal. Appl., 2014

Effective fuzzy clustering algorithm with Bayesian model and mean template for image segmentation.
IET Image Process., 2014

Image segmentation by dirichlet process mixture model with generalised mean.
IET Image Process., 2014

2013
Incorporating Mean Template Into Finite Mixture Model for Image Segmentation.
IEEE Trans. Neural Networks Learn. Syst., 2013

A Robust Fuzzy Algorithm Based on Student's t-Distribution and Mean Template for Image Segmentation Application.
IEEE Signal Process. Lett., 2013

A finite mixture model for detail-preserving image segmentation.
Signal Process., 2013

Variational Bayes and Localized Feature Selection for Student's T-Mixture Models.
Int. J. Pattern Recognit. Artif. Intell., 2013

Modified student's <i>t</i>-hidden Markov model for pattern recognition and classification.
IET Signal Process., 2013

Image segmentation by a new weighted student's t-mixture model.
IET Image Process., 2013

A Centralized Clustering Geographic Energy Aware Routing for Wireless Sensor Networks.
Proceedings of the IEEE International Conference on Systems, 2013

Image segmentation by a robust generalized fuzzy c-means algorithm.
Proceedings of the IEEE International Conference on Image Processing, 2013

An effective fuzzy clustering algorithm for image segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2013

A detail-preserving mixture model for image segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2013

Bounded asymmetric mixture model for medical image segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2013

Image segmentation by a robust Modified Gaussian Mixture Model.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Quaternion Zernike moments and their invariants for color image analysis and object recognition.
Signal Process., 2012

Bayesian feature selection and model detection for student's t-mixture distributions.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Affine Legendre Moment Invariants for Image Watermarking Robust to Geometric Distortions.
IEEE Trans. Image Process., 2011

Combined Invariants to Similarity Transformation and to Blur Using Orthogonal Zernike Moments.
IEEE Trans. Image Process., 2011

Image Description with nonseparable Two-Dimensional Charlier and Meixner Moments.
Int. J. Pattern Recognit. Artif. Intell., 2011

Pattern recognition by affine Legendre moment invariants.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
Blurred Image Recognition by Legendre Moment Invariants.
IEEE Trans. Image Process., 2010

Fast Computation of Tchebichef Moments for Binary and Grayscale Images.
IEEE Trans. Image Process., 2010

Construction of a complete set of orthogonal Fourier-Mellin moment invariants for pattern recognition applications.
Image Vis. Comput., 2010

Image registration by blur and rotation invariants of Legendre moments.
Proceedings of the Visual Communications and Image Processing 2010, 2010

Color Image Analysis by Quaternion Zernike Moments.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Symmetric image recognition by Tchebichef moment invariants.
Proceedings of the International Conference on Image Processing, 2010

Object recognition by a complete set of pseudo-Zernike moment invariants.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
An efficient method for the exact computation of Legendre moments of binary images.
Proceedings of the 16th International Conference on Digital Signal Processing, 2009

2003
Mesh Simplification Based on Shading Characteristic.
Proceedings of the 11-th International Conference in Central Europe on Computer Graphics, 2003

Multidimensional registration of x-ray image and CT image.
Proceedings of the Medical Imaging 2003: Visualization, 2003


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