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

zbMATH Keywords

mathematical morphologyadaptive morphologyadaptive structuring elementsspatially-variant structuring elements

Mathematics Subject Classification ID

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)

Related Items (1)

Mathematical modeling and computational methods

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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