A Global Inhomogeneous Intensity Clustering- (GINC-) Based Active Contour Model for Image Segmentation and Bias Correction

Image segmentation is still an open problem especially when intensities of the objects of interest are overlapped due to the presence of intensity inhomogeneities. A bias correction embedded level set model is proposed in this paper where inhomogeneities are estimated by orthogonal primary functions...

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Detalles Bibliográficos
Autores principales: Feng, Chaolu, Yang, Jinzhu, Lou, Chunhui, Li, Wei, Yu, Kun, Zhao, Dazhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285411/
https://www.ncbi.nlm.nih.gov/pubmed/32565883
http://dx.doi.org/10.1155/2020/7595174

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285411/
https://www.ncbi.nlm.nih.gov/pubmed/32565883
http://dx.doi.org/10.1155/2020/7595174

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