Markov random field modeling in computer vision
Markov random field modeling in computer vision
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hidden Markov Measure Field Models for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image retrieval using color histograms generated by Gauss mixture vector quantization
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Histogram-based image retrieval using Gauss mixture vector quantization
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
A Bayes-Based Region-Growing Algorithm for Medical Image Segmentation
Computing in Science and Engineering
Bayesian mixture models of variable dimension for image segmentation
Computer Methods and Programs in Biomedicine
Review of brain MRI image segmentation methods
Artificial Intelligence Review
A new method for MR grayscale inhomogeneity correction
Artificial Intelligence Review
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Modified Probabilistic Neural Network for Partial Volume Segmentation in Brain MR Image
IEEE Transactions on Neural Networks
New spatial based MRI image de-noising algorithm
Artificial Intelligence Review
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Image segmentation is at a preliminary stage of inclusion in diagnosis tools and the accurate segmentation of brain MRI images is crucial for a correct diagnosis by these tools. Due to in-homogeneity, low contrast, noise and inequality of content with semantic; brain MRI image segmentation is a challenging job. A review of the Gaussian Mixture Model based segmentation algorithms for brain MRI images is presented. The review covers algorithms for segmentation algorithms and their comparative evaluations based on reported results.