On a Variational and Convex Model of the Blake–Zisserman Type for Segmentation of Low-Contrast and Piecewise Smooth Images

On a Variational and Convex Model of the Blake–Zisserman Type for Segmentation of Low-Contrast and Piecewise Smooth Images

This paper proposes a new variational model for segmentation of low-contrast and piecewise smooth images. The model is motivated by the two-stage image segmentation work of Cai–Chan–Zeng (2013) for the Mumford–Shah model. To deal with low-contrast images more effectively, especially in treating high...

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Detalles Bibliográficos
Autores principales: Liam Burrows, Anis Theljani, Ke Chen
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
image segmentation
Mumford–Shah
Blake–Zisserman
game theory
Photography
TR1-1050
Computer applications to medicine. Medical informatics
R858-859.7
Electronic computers. Computer science
QA75.5-76.95
Acceso en línea:https://doaj.org/article/14983ba1dff8439680ba1bf03ac91dbb
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https://doaj.org/article/14983ba1dff8439680ba1bf03ac91dbb

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