Adaptive morphological filters based on a multiple orientation vector field dependent on image local features
DOI10.1016/j.cam.2017.05.001zbMath1422.68261OpenAlexW2677419885MaRDI QIDQ1676028
Jesús Angulo, Rafael Verdú-Monedero, Álvar-Ginés Legaz-Aparicio
Publication date: 3 November 2017
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2017.05.001
mathematical morphologyadaptive morphologyadaptive structuring elementsspatially-variant structuring elements
Computing methodologies for image processing (68U10) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
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Cites Work
- Axioms and fundamental equations of image processing
- Hopf-Lax-type formula for \(u_ t+ H(u, Du)=0\)
- Morphological Bilateral Filtering
- Morphological PDE and Dilation/Erosion Semigroups on Length Spaces
- MULTISCALE IMAGE ANALYSIS BASED ON ROBUST AND ADAPTIVE MORPHOLOGICAL SCALE-SPACES
- Morphological Scale-Space Operators for Images Supported on Point Clouds
- SPATIALLY ADAPTIVE MORPHOLOGICAL IMAGE FILTERING USING INTRINSIC STRUCTURING ELEMENTS
- User’s guide to viscosity solutions of second order partial differential equations
- B-spline signal processing. II. Efficiency design and applications
- Anisotropic Morphological Filters With Spatially-Variant Structuring Elements Based on Image-Dependent Gradient Fields
- Idempotent functional analysis: An algebraic approach
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