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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...

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Bibliografische gegevens
Hoofdauteurs: Huang, Xiaoxia, Huang, Bo, Li, Hongga
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Molecular Diversity Preservation International (MDPI) 2009
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3280832/
https://ncbi.nlm.nih.gov/pubmed/22399940
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s90200814
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