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A Fast Level Set Method for Synthetic Aperture Radar Ocean Image Segmentation
Segmentation of high noise imagery like Synthetic Aperture Radar (SAR) images is still one of the most challenging tasks in image processing. While level set, a novel approach based on the analysis of the motion of an interface, can be used to address this challenge, the cell-based iterations may ma...
Autores principales: | Huang, Xiaoxia, Huang, Bo, Li, Hongga |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280832/ https://www.ncbi.nlm.nih.gov/pubmed/22399940 http://dx.doi.org/10.3390/s90200814 |
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