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Image Segmentation Method Combining Nonlocal Criteria With Graph Cut Theory

Image segmentation, a fundamental problem in image processing, involves distinguishing the foreground from the background. Traditional image segmentation methods are typically divided into local and global approaches. Local methods often result in blurred segmentation due to their reliance on overly...

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Principais autores: Guilin Yao, Heyuan Liu, Dongliang Zhang
פורמט: Artigo
שפה:Inglês
יצא לאור: IEEE 2025-01-01
סדרה:IEEE Access
נושאים:
Image segmentation
graph cut theory
graph cut framework
nonlocal criteria
HSV color space
גישה מקוונת:https://ieeexplore.ieee.org/document/10979299/
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