Oct 10, 2010 · In this study, we developed a new medical image segmentation method based on non-parametric mixture models with spatial information. First, we ...
3.2 Medical image segmentation algorithm based on non-parametric mixture models with spatial information. The non-parametric orthogonal sequence mixture model ...
Medical image segmentation based on non-parametric mixture models with spatial information. https://doi.org/10.1007/s11760-010-0185-5.
First, we designed the non-parametric image mixture models based on the cosine orthogonal sequence and defined the spatial information functions to obtain the ...
Compared with the segmentation methods of other orthogonal polynomials, this new method is much more fast in speed and better segmentation quality. The ...
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In this paper, we propose and investigate the use of several other mixture models based namely on Dirichlet, generalized Dirichlet and Beta–Liouville ...
The experimental results of image segmentation show that the proposed algorithm has better performance in generating smooth regions in the segmentation results ...
Oct 22, 2024 · Finite mixture models are one of the most widely and commonly used probabilistic techniques for image segmentation.
An approach for integrating the spatial information into mixture models is investigated. The proposed models are applied to several color images and well-known ...
An innovative image segmentation algorithm is proposed based on the hierarchical Student's-t mixture model (HSMM) and spatial constraints with adaptive ...