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Published in 2024 at "Quantum Information Processing"
DOI: 10.1007/s11128-024-04392-z
Abstract: Amidst the rapid advancements in technology, there is a growing demand for processing an increasing volume and quality of images, which necessitates faster image processing capabilities. Enhancing the efficiency of image processing algorithms has thus…
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Keywords:
image;
image edge;
edge detection;
quantum image ... See more keywords
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Published in 2017 at "ISA transactions"
DOI: 10.1016/j.isatra.2017.03.024
Abstract: The measurement and monitoring of tool condition are keys to the product precision in the automated manufacturing. To meet the need, this study proposes a novel tool wear monitoring approach based on the monitored image…
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Keywords:
image;
edge detection;
tool;
image edge ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-19221-1
Abstract: Visual servoing technology is an important direction for realizing the intelligence of robotic arms, which enhances the flexibility and robustness of robotic arms by introducing visual feedback information. Image processing is the core part of…
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Keywords:
image edge;
image;
algorithm;
edge detection ... See more keywords
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Published in 2024 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2023.3335108
Abstract: As an important kind of aggregation function, overlap functions are widely used in information fusion, data intelligence, image processing, decision science, etc. It is also used to construct new fuzzy rough set models. Moreover, fuzzy…
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Keywords:
image edge;
rough sets;
image;
fuzzy rough ... See more keywords
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Published in 2023 at "Optics express"
DOI: 10.1364/oe.476492
Abstract: Optical image processing based on the photonic spin Hall effect (SHE) has been gaining significant attention as a convenient and an accurate way for image edge detection. However, the recent edge imaging techniques depending on…
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Keywords:
anisotropic metamaterial;
dimensional photonic;
image edge;
edge detection ... See more keywords
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Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0265338
Abstract: To address the problem of high failure rate and low accuracy in computed tomography (CT) image edge segmentation, we proposed a CT sequence image edge segmentation optimization algorithm using improved convolution neural network. Firstly, the…
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Keywords:
convolution neural;
edge segmentation;
segmentation;
image edge ... See more keywords
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Published in 2021 at "Computer Optics"
DOI: 10.18287/2412-6179-co-853
Abstract: The feasibility of an optical image edge detection based on metal-insulator-metal (MIM) resonance transmission structures is experimentally investigated. The structures are fabricated on a glass substrate and consist of thin aluminum layers separated by a…
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Keywords:
metal;
edge detection;
image edge;