A Rough Set Bounded Spatially Constrained Asymmetric Gaussian Mixture Model for Image Segmentation

Accurate image segmentation is an important issue in image processing, where Gaussian mixture models play an important part and have been proven effective. However, most Gaussian mixture model (GMM) based methods suffer from one or more limitations, such as limited noise robustness, over-smoothness...

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Detalles Bibliográficos
Autores principales: Ji, Zexuan, Huang, Yubo, Sun, Quansen, Cao, Guo, Zheng, Yuhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5207730/
https://www.ncbi.nlm.nih.gov/pubmed/28045950
http://dx.doi.org/10.1371/journal.pone.0168449

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5207730/
https://www.ncbi.nlm.nih.gov/pubmed/28045950
http://dx.doi.org/10.1371/journal.pone.0168449

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