Results 261 to 270 of about 4,102,252 (349)

A System On Chip Dedicated To Pipeline Neighborhood Processing For Mathematical Morphology

, 2008
Christophe Clienti, Serge Beucher, Michel Bilodeau   +2 more
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Sunspots identification through mathematical morphology

Solar Physics
Bourgeois, S., Barata, T., Erdélyi, R., Gafeira, R., Oliveira, O.   +4 more
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Mathematical Modelling of the Mitochondrial Dicarboxylate Carrier (SlC25A10)

Nashebi R, Vera-Sigüenza E, Lyu Y, Tennant DA, Spill F.   +4 more
europepmc   +1 more source

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Image Analysis Using Mathematical Morphology

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987
For the purposes of object or defect identification required in industrial vision applications, the operations of mathematical morphology are more useful than the convolution operations employed in signal processing because the morphological operators relate directly to shape.
R M, Haralick, S R, Sternberg, X, Zhuang
openaire   +3 more sources

Mathematical Morphology

Encyclopedia of Mathematical Geosciences, 2021
Jean Serra
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mathematical morphology

Encyclopedia of Mathematical Geosciences, 2000
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Performance Prediction Using High-Order Differential Mathematical Morphology Gradient Spectrum Entropy and Extreme Learning Machine

IEEE Transactions on Instrumentation and Measurement, 2020
Performance prediction is significant to monitor the health status of rolling bearings, which can greatly reduce the loss caused by potential faults in the whole life cycle of rolling bearings.
Huimin Zhao, Haodong Liu, Junjie Xu, Wu Deng   +3 more
semanticscholar   +1 more source

Mathematical morphology for microaneurysm detection in fundus images

European Journal of Ophthalmology, 2020
Aim: Fundus image analysis is the basis for the better understanding of retinal diseases which are found due to diabetes. Detection of earlier markers such as microaneurysms that appear in fundus images combined with treatment proves beneficial to ...
Shilpa Joshi, PT Karule
semanticscholar   +1 more source

Mathematical Morphology

2013
Mathematical Morphology allows for the analysis and processing of geometrical structures using techniques based on the fields of set theory, lattice theory, topology, and random functions. It is the basis of morphological image processing, and finds applications in fields including digital image processing (DSP), as well as areas for graphs, surface ...
Najman, Laurent, Talbot, Hugues
openaire   +3 more sources