Study on a Novel Fault Damage Degree Identification Method Using High-Order Differential Mathematical Morphology Gradient Spectrum Entropy [PDF]
Entropy, 2018 A damage degree identification method based on high-order difference mathematical morphology gradient spectrum entropy (HMGSEDI) is proposed in this paper to solve the problem that fault signal of rolling bearings are weak and difficult to be ...
Huimin Zhao +5 more
doaj +5 more sources
A multi-parameter persistence framework for mathematical morphology [PDF]
Scientific Reports, 2022 The field of mathematical morphology offers well-studied techniques for image processing and is applicable for studies ranging from materials science to ecological pattern formation.
Yu-Min Chung, Sarah Day, Chuan-Shen Hu
doaj +4 more sources
Panoramic Dental Radiography Image Enhancement Using Multiscale Mathematical Morphology. [PDF]
Sensors (Basel), 2021 Panoramic dental radiography is one of the most used images of the different dental specialties. This radiography provides information about the anatomical structures of the teeth.
Román JCM +9 more
europepmc +2 more sources
N-ary Mathematical Morphology [PDF]
Mathematical Morphology - Theory and Applications, 2015 International audienceMathematical morphology on binary images can be fully de-scribed by set theory. However, it is not sucient to formulate mathe-matical morphology for grey scale images.
Angulo, Jesus +2 more
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Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology. [PDF]
Sensors (Basel), 2018 Malaria is an epidemic health disease and a rapid, accurate diagnosis is necessary for proper intervention. Generally, pathologists visually examine blood stained slides for malaria diagnosis.
Loddo A, Di Ruberto C, Kocher M.
europepmc +2 more sources
Near-Infrared Blood Vessel Image Segmentation Using Background Subtraction and Improved Mathematical Morphology. [PDF]
Bioengineering (Basel), 2023 Li L +6 more
europepmc +3 more sources
Riemannian mathematical morphology [PDF]
Pattern Recognition Letters, 2014 This paper introduces mathematical morphology operators for real-valued images whose support space is a Riemannian manifold. The starting point consists in replacing the Euclidean distance in the canonic quadratic structuring function by the Riemannian ...
Angulo, Jesus, Velasco-Forero, Santiago
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Mineral granulometric analysis using mathematical morphology
Revista Tecnologia, 2011 The most accurate granulometric analysis techniques present some disadvantages, mainly related with high cost of acquisition and maintenance of sophisticated devices. On the other hand, cheaper systems are generally characterized by low precision or long
Jonathas Barbosa
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Microgrid Islanding Detection Based on Mathematical Morphology
Energies, 2018 Voltage and frequency stability are highly important for reliable performance of smart grids. In grid-connected mode, the utility controls these parameters, but when islanding occurs these parameters exceed their limits, which may result in irreparable ...
Fatemeh Ghalavand +3 more
doaj +2 more sources
Random projection depth for multivariate mathematical morphology [PDF]
, 2012 International audienceThe open problem of the generalization of mathematical morphology to vector images is handled in this paper using the paradigm of depth functions.
Angulo, Jesus, Velasco-Forero, Santiago
core +4 more sources