The Application of Wavelet-Domain Hidden Markov Tree Model in Diabetic Retinal Image Denoising

The wavelet-domain Hidden Markov Tree Model can properly describe the dependence and correlation of fundus angiographic images’ wavelet coefficients among scales. Based on the construction of the fundus angiographic images Hidden Markov Tree Models and Gaussian Mixture Models, this paper applied exp...

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Detalles Bibliográficos
Autores principales: Cui, Dong, Liu, Minmin, Hu, Lei, Liu, Keju, Guo, Yongxin, Jiao, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Open 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4645835/
https://www.ncbi.nlm.nih.gov/pubmed/26628926
http://dx.doi.org/10.2174/1874120701509010194

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4645835/
https://www.ncbi.nlm.nih.gov/pubmed/26628926
http://dx.doi.org/10.2174/1874120701509010194

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