Segmentation of Coronary Angiograms Using Gabor Filters and Boltzmann Univariate Marginal Distribution Algorithm

This paper presents a novel method for improving the training step of the single-scale Gabor filters by using the Boltzmann univariate marginal distribution algorithm (BUMDA) in X-ray angiograms. Since the single-scale Gabor filters (SSG) are governed by three parameters, the optimal selection of th...

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Detalles Bibliográficos
Autores principales: Cervantes-Sanchez, Fernando, Cruz-Aceves, Ivan, Hernandez-Aguirre, Arturo, Aviña-Cervantes, Juan Gabriel, Solorio-Meza, Sergio, Ornelas-Rodriguez, Manuel, Torres-Cisneros, Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5056001/
https://www.ncbi.nlm.nih.gov/pubmed/27738422
http://dx.doi.org/10.1155/2016/2420962

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5056001/
https://www.ncbi.nlm.nih.gov/pubmed/27738422
http://dx.doi.org/10.1155/2016/2420962

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