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Published in 2018 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.27071
Abstract: To improve liver R2* mapping by incorporating adaptive neighborhood regularization into pixel‐wise curve fitting.
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Keywords:
adaptive neighborhood;
neighborhood regularization;
curve fitting;
wise curve ... See more keywords
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Published in 2019 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-019-7615-9
Abstract: Leaf segmentation is significantly important in assisting ecologists to automatically detect symptoms of disease and other stressors affecting trees. This paper employs state-of-the-art techniques in image processing to introduce an accurate framework for segmenting leaves…
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Keywords:
framework;
segmentation;
assessment automated;
pixel wise ... See more keywords
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Published in 2021 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-020-01365-4
Abstract: Crowd analysis via computer vision techniques is an important topic in the field of video surveillance, which has wide-spread applications including crowd monitoring, public safety, space design and so on. Pixel-wise crowd understanding is the…
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Keywords:
crowd;
crowd understanding;
understanding via;
synthetic data ... See more keywords
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Published in 2018 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/aae758
Abstract: Quantification of myocardial perfusion by contrast-enhanced cardiovascular magnetic resonance imaging (CMR) aims for an observer independent and reproducible risk assessment of cardiovascular disease. Currently, the data used for the pixel-wise analysis of cardiac perfusion are…
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Keywords:
perfusion;
myocardial perfusion;
pixel wise;
regularization ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3231579
Abstract: Nowadays, remote sensing image analysis is needed in various important tasks such as city planning, land-use classification, agriculture monitoring, military surveillance, and many other applications. In this context, hyperspectral images can play a useful role,…
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Keywords:
classification;
pixel wise;
wise classification;
hyperspectral images ... See more keywords
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Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3200713
Abstract: Medium spatial resolution surface reflectance image series from the combination of Landsat-8 Operational Land Imager and Sentinel-2 Multispectral Imager observations have great importance to the land surface monitoring tasks, for which great efforts have been…
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Keywords:
fusion;
pixel wise;
surface reflectance;
surface ... See more keywords
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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3244805
Abstract: In recent years, pixel-wise hyperspectral image (HSI) classification has received growing attention in the field of remote sensing. Plenty of spectral–spatial convolutional neural network (CNN) methods with diverse attention mechanisms have been proposed for HSI…
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Keywords:
network;
wise hyperspectral;
classification;
pixel wise ... See more keywords
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Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3212422
Abstract: Accurate object detection and 6D pose estimation are the key technologies in robotic grasping applications, where efficiency and robustness are the two most desirable goals. Especially, for textureless industrial parts, it is difficult for most…
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Keywords:
wise prediction;
pixel wise;
prediction;
robotic grasping ... See more keywords
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Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.2988568
Abstract: Existing saliency models typically incorporate contexts holistically. However, for each pixel, usually only part of its context region contributes to saliency prediction, while other parts are likely either noise or distractions. In this paper, we…
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Keywords:
wise contextual;
attention;
contextual attention;
pixel wise ... See more keywords
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Published in 2021 at "IEEE transactions on visualization and computer graphics"
DOI: 10.1109/tvcg.2021.3085197
Abstract: Region-based methods are currently achieving state-of-the-art performance for monocular 3D object tracking. However, they are still prone to fail in cases of partial occlusions and ambiguous colors. We propose a novel region-based method to tackle…
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Keywords:
occlusions ambiguous;
region;
ambiguous colors;
region based ... See more keywords
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Published in 2021 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2021/6663977
Abstract: This paper presents a method for pixel-wise classification applied for the first time on hippocampus histological images. The goal is achieved by representing pixels in a 14-D vector, composed of grey-level information and moment invariants.…
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Keywords:
pixel wise;
histological images;
wise classification;
hippocampus histological ... See more keywords