Gaussian Mixture Model with the Inclusion of Spatial Factor and Pixel Re-labelling: Application to MR Brain Image Segmentation

2016 ◽  
Vol 42 (2) ◽  
pp. 595-605 ◽  
Author(s):  
R. Meena Prakash ◽  
R. Shantha Selva Kumari
Keyword(s):  
Image Segmentation ◽  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Gaussian Mixture ◽  
Brain Image ◽  
Spatial Factor ◽  
Mr Brain ◽  
Brain Image Segmentation

scholarly journals Modified Expectation Maximization Method for Automatic Segmentation of MR Brain Images

2013 ◽  
Author(s):  
Meena prakash R ◽  
Shantha Selva Kumari R
Keyword(s):  
Image Segmentation ◽  
Spatial Correlation ◽  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Expectation Maximization ◽  
Gaussian Mixture ◽  
Brain Images ◽  
Brain Image ◽  
Mr Brain Images ◽  
Mr Brain

An automated method of MR Brain image segmentation is presented. A block based Expectation Maximization method is presented for the tissue classification of MR Brain images. The standard Gaussian Mixture Model is the most widely used method for MR Brain Image Segmentation and Expectation Maximization algorithm is used to estimate the model parameters. The Gaussian Mixture Model considers each pixel as independent and does not take into account the spatial correlation between the neighbouring pixels. Hence the segmentation result obtained using standard GMM is highly sensitive to Inensity Non-Uniformity and noise. The image is divided into blocks before applying EM since the GMM is preserved in the local image blocks. Also, Nonsubsampled Contourlet Transform is employed to incorporate the spatial correlation among the neighbouring pixels. The method is applied to the 12 MR Brain volumes of MRBRAINS13 test data and the White Matter, Gray Matter and CSF structures were segmented.

A spatially constrained asymmetric Gaussian mixture model for image segmentation

2021 ◽  
Author(s):  
Yunjie Chen ◽  
Ning Cheng ◽  
Mao Cai ◽  
Chunzheng Cao ◽  
Jianwei Yang ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Gaussian Mixture

Multispectral image segmentation by fuzzy clustering algorithm used Gaussian mixture model

2017 ◽  
Vol 25 (2) ◽  
pp. 509-518 ◽  
Author(s):  
李 玉 LI Yu ◽  
徐 艳 XU Yan ◽  
赵雪梅 ZHAO Xue-mei ◽  
赵泉华 ZHAO Quan-hua
Keyword(s):  
Image Segmentation ◽  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Fuzzy Clustering ◽  
Clustering Algorithm ◽  
Gaussian Mixture ◽  
Multispectral Image ◽  
Fuzzy Clustering Algorithm
Sign in / Sign up

Export Citation Format

Share Document