Results 11 to 20 of about 25,166,577 (335)
An unambiguous cloudiness index for nonwovens
Journal of Mathematics in Industry, 2022 Cloudiness or formation is a concept routinely used in industry to address deviations from homogeneity in nonwovens and papers. Measuring a cloudiness index based on image data is a common task in industrial quality assurance.
Michael Godehardt +4 more
doaj +1 more source
Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems
International Journal of Computer Vision, 2021 The performance of objective image quality assessment (IQA) models has been evaluated primarily by comparing model predictions to human quality judgments.
Keyan Ding +3 more
semanticscholar +1 more source
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V Images for Cloud Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The number of Earth observation satellites carrying optical sensors with similar characteristics is constantly growing. Despite their similarities and the potential synergies among them, derived satellite products are often developed for each sensor ...
Gonzalo Mateo-Garcia +3 more
doaj +1 more source
REMOTE SENSING IMAGE TIME SERIES METRICS FOR DISTINCTION BETWEEN PASTURE AND CROPLANDS USING THE RANDOM FOREST CLASSIFIER [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Pasture and croplands play an important role in Brazil’s economic and political scenarios, once its PIB (Raw Internal Product) is mainly based on what is exported from the rural production, such as meat and soybean, and government, with its regulations ...
M. A. A. Rodrigues +4 more
doaj +1 more source
Global flood extent segmentation in optical satellite images
Scientific Reports, 2023 Floods are among the most destructive extreme events that exist, being the main cause of people affected by natural disasters. In the near future, estimated flood intensity and frequency are projected to increase.
Enrique Portalés-Julià +3 more
doaj +1 more source
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing [PDF]
IEEE Signal Processing Magazine, 2019 Deep neural networks provide unprecedented performance gains in many real-world problems in signal and image processing. Despite these gains, the future development and practical deployment of deep networks are hindered by their black-box nature, i.e., a
V. Monga, Yuelong Li, Yonina C. Eldar
semanticscholar +1 more source
Model Watermarking for Image Processing Networks [PDF]
AAAI Conference on Artificial Intelligence, 2020 Deep learning has achieved tremendous success in numerous industrial applications. As training a good model often needs massive high-quality data and computation resources, the learned models often have significant business values.
Jie Zhang +7 more
semanticscholar +1 more source
Multifocal image processing [PDF]
, 2014 In this paper, we present a processing method for digital images from an optical microscope. High-pass type filters are generally used for image focusing. They enhance the high spatial frequencies. These filters are not appropriate if the lack of
Druckmüllerová, H., Martišek, D.
core +1 more source
MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation
NeuroImage, 2019 MRtrix3 is an open-source, cross-platform software package for medical image processing, analysis and visualization, with a particular emphasis on the investigation of the brain using diffusion MRI.
J. Tournier +9 more
semanticscholar +1 more source
Bone Age Assessment Based on Rank-Monotonicity Enhanced Ranking CNN
IEEE Access, 2019 Skeletal bone age assessment based on hand x-ray is widely used in many fields. There is an urgent need for automated method to alleviate manual labor and address the problem of intra- and inter-observer variability.
Bo Liu +4 more
doaj +1 more source