First the MIP algorithm is applied to decrease the quantity of mixing elements. Then the Gaussian Mixture Model is put forward to fit the stochastic ...
In this paper, the brain MRI images are processed with statistical analysis technology, and then the accuracy of segmentation is improved by the random ...
Abstract. The brain MRI images are processed with statistical analysis tech- nology, and then the accuracy of segmentation is improved by the random as-.
Sep 17, 2010 · First the MIP algorithm is applied to decrease the quantity of mixing elements. Then the Gaussian Mixture Model is put forward to fit the ...
The brain MRI images are processed with statistical analysis technology, and then the accuracy of segmentation is improved by the random assortment ...
Segmentation Algorithm of Brain Vessel Image Based on SEM Statistical Mixture Model[J]. Journal of Computer-Aided Design & Computer Graphics, 2010, 22(11): 1905 ...
In this paper, we propose a novel method for segmentation of cerebral blood vessels from magnetic resonance angiography (MRA) images based on Gaussian Mixture ...
Segmentation algorithm of brain vessel image based on SEM ...
colab.ws › articles › FSKD.2010.5569429
In this paper, we present a novel spatially constrained generative model and an expectation-maximization (EM) algorithm for model-based image segmentation.
A range image segmentation algorithm based on Gaussian mixture model of surface normal that achieves automatic model selection via the posterior ...