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Two-stage image segmentation based on nonconvex <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si18.svg"><mml:mrow><mml:msub><mml:mi>ℓ</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mspace width="0.16em"/><mml:mo linebreak="goodbreak">−</mml:mo><mml:mspace width="0.16em"/><mml:msub><mml:mi>ℓ</mml:mi><mml:mi>p</mml:mi></mml:msub></mml:mrow></mml:math> approximation and thresholding

Tingting Wu, Jinbo Shao, Xiaoyu Gu, Michael K. Ng, Tieyong Zeng

2021Applied Mathematics and Computation11 citationsDOI

Topics & Concepts

MathematicsHausdorff distanceAlgorithmSegmentationBoundary (topology)Image segmentationImage (mathematics)Stage (stratigraphy)CombinatoricsArtificial intelligenceComputer scienceMathematical analysisPaleontologyBiologySparse and Compressive Sensing TechniquesNumerical methods in inverse problemsMedical Image Segmentation Techniques
Two-stage image segmentation based on nonconvex <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si18.svg"><mml:mrow><mml:msub><mml:mi>ℓ</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mspace width="0.16em"/><mml:mo linebreak="goodbreak">−</mml:mo><mml:mspace width="0.16em"/><mml:msub><mml:mi>ℓ</mml:mi><mml:mi>p</mml:mi></mml:msub></mml:mrow></mml:math> approximation and thresholding | Litcius