Adaptive mask generating algorithm based on the fuzzy set theory for the weighted least-squares phase unwrapping
Sign Up to like & getrecommendations! Published in 2021 at "Optics and Lasers in Engineering"
DOI: 10.1016/j.optlaseng.2021.106721
Abstract: Abstract In the digital speckle pattern interferometry (DSPI), accurate phase unwrapping is essential for quantitative phase measurement. In this paper, a novel adaptive mask generating algorithm based on the fuzzy set theory is proposed, which… read more here.
Keywords: adaptive mask; mask generating; phase unwrapping; generating algorithm ... See more keywords
AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2024.3368142
Abstract: Unsupervised visual anomaly detection is crucial for enhancing industrial production quality and efficiency. Among unsupervised methods, reconstruction approaches are popular due to their simplicity and effectiveness. The key aspect of reconstruction methods lies in the… read more here.
Keywords: detection; ami net; mask inpainting; network ... See more keywords
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning With Distance Covariance Representation for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3265388
Abstract: For the abundant spectral and spatial information recorded in hyperspectral images (HSIs), fully exploring spectral–spatial relationships has attracted widespread attention in the HSI classification (HSIC) community. However, there are still some intractable obstructs. For one… read more here.
Keywords: spectral spatial; distance covariance; adaptive mask;
Successive Low-Light Image Enhancement Using an Image-Adaptive Mask
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14061165
Abstract: Low-light images are obtained in dark environments or in environments where there is insufficient light. Because of this, low-light images have low intensity values and dimmed features, making it difficult to directly apply computer vision… read more here.
Keywords: low light; light images; adaptive mask; image adaptive ... See more keywords