Order-configuration functions: Mathematical characterizations and applications to digital signal and image processing

DOI10.1016/0020-0255(90)90014-2zbMath0715.94008OpenAlexW2084355848MaRDI QIDQ752663

Christian Ronse

Publication date: 1990

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0020-0255(90)90014-2

zbMATH Keywords

image transformationsdigital signal filtersorder- subconfiguration functionsorder-configuration filtersorder-configuration functions

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Order statistics; empirical distribution functions (62G30) Communication, information (94A99)

Related Items (7)

Idempotent and co-idempotent stack filters and min--max operators. ⋮ Flat morphology on power lattices ⋮ Efficient and robust path openings using the scale-invariant rank operator ⋮ Reflections on a scientific career and its possible legacy ⋮ Anamorphoses and flat morphological operators on power lattices ⋮ On morphological operators based on rank filters ⋮ Flat morphological operators from non-increasing set operators. I: General theory

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Two-dimensional digital signal processing II. Transforms and median filters
• Some theory of nonlinear smoothers
• Iterations of a non-linear transformation for enhancement of digital images
• A fast method for real-time median filtering
• Convergence of a Nonlinear Sharpening Transformation for Digital Images
• Median filtering by threshold decomposition
• ‘Continuous’ functions on digital pictures
• A Note on the Use of Local Min and Max Operations in Digital Picture Processing

This page was built for publication: Order-configuration functions: Mathematical characterizations and applications to digital signal and image processing