Articles with "mathematical morphology" as a keyword



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Improved fuzzy C-means clustering in the process of exudates detection using mathematical morphology

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Published in 2018 at "Soft Computing"

DOI: 10.1007/s00500-017-2532-8

Abstract: Exudates are a common complication of diabetic retinopathy and the leading cause of blindness in the developing countries, especially in Thailand. The digital retinal images are usually interpreted visually by an expert ophthalmologist in order… read more here.

Keywords: means clustering; exudates detection; process exudates; mathematical morphology ... See more keywords

Mathematical morphology-based local fault detection in DC Microgrid clusters

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Published in 2020 at "Electric Power Systems Research"

DOI: 10.1016/j.epsr.2020.106981

Abstract: Abstract A new local current-based fast high impedance fault (HIF) detection scheme for DC microgrid clusters using mathematical morphology (MM) is proposed in this paper. The proposed strategy consists of two MM based parts. The… read more here.

Keywords: mathematical morphology; fault detection; microgrid clusters; detection ... See more keywords
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De-noising low-frequency magnetotelluric data using mathematical morphology filtering and sparse representation

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Published in 2020 at "Journal of Applied Geophysics"

DOI: 10.1016/j.jappgeo.2019.103919

Abstract: Abstract De-noising the magnetotelluric (MT) data using the conventional time-series editing methods is at the risk of losing low-frequency signals, especially the signal below 1 Hz. To overcome this deficiency, we propose a combinatorial method based… read more here.

Keywords: magnetotelluric data; data using; frequency; sparse representation ... See more keywords
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Identification of single and multiple partial discharge sources by optical method using mathematical morphology aided sparse representation classifier

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Published in 2017 at "IEEE Transactions on Dielectrics and Electrical Insulation"

DOI: 10.1109/tdei.2017.006398

Abstract: Partial Discharge (PD) is one of the most critical electrical phenomena affecting the life of electrical equipment. Repetitive PD leading to arcing faults is a recurrent problem in many air insulated systems, such as high… read more here.

Keywords: methodology; sparse representation; morphology aided; single multiple ... See more keywords
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Toward Real-Time Volcano Seismic Events’ Classification: A New Approach Using Mathematical Morphology and Similarity Criteria

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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2020.3048107

Abstract: This work proposes a new approach based on a suit combination of mathematical morphology and similarity criteria techniques to classify long-period and volcano-tectonic seismic events of the Cotopaxi volcano. The proposed method explores the seismic… read more here.

Keywords: mathematical morphology; time; new approach; volcano ... See more keywords
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Max-Tree Computation on GPUs

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Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"

DOI: 10.1109/tpds.2022.3158488

Abstract: In Mathematical Morphology, the max-tree is a region-based representation that encodes the inclusion relationship of the threshold sets of an image. This tree has proved useful in numerous image processing applications. For the last decade,… read more here.

Keywords: mathematical morphology; max tree; tree computation; gpus ... See more keywords
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A Road Extraction Method Based on Region Growing and Mathematical Morphology from Remote Sensing Images

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Published in 2018 at "Journal of Computational Chemistry"

DOI: 10.4236/jcc.2018.611008

Abstract: Road traffic is the important driving factor for economic and social development. With the rapid increase of vehicle population, road traffic problems such as traffic jam and traffic accident have become the bottleneck which restricts… read more here.

Keywords: traffic; region growing; sensing images; road ... See more keywords