Results 41 to 50 of about 21,230 (297)
Vessel tractography using an intensity based tensor model with branch detection [PDF]
, 2013 In this paper, we present a tubular structure seg- mentation method that utilizes a second order tensor constructed from directional intensity measurements, which is inspired from diffusion tensor image (DTI) modeling.
Cetin, Suheyla +7 more
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IEEE Access, 2021 Based on the good feature learning ability of the pyramid scene parsing network, a method for extracting the centerline of structured light stripes of weld lines based on the pyramid scene parsing network and Steger algorithm is proposed.
Weibo Yu +3 more
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DeepWindow: Sliding Window Based on Deep Learning for Road Extraction From Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 The road centerline extraction is the key step of the road network extraction and modeling. The hand-craft feature engineering in the traditional road extraction methods is unstable, which makes the extracted road centerline deviated from the road center
Renbao Lian, Liqin Huang
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Remote Sensing, 2023 To effectively manage the terrestrial firefighting fleet in a forest fire scenario, namely, to optimize its displacement in the field, it is crucial to have a well-structured and accurate mapping of rural roads.
Miguel Lourenço +4 more
doaj +1 more source
Photonics, 2020 After interventions such as bypass surgeries the vascular function is checked qualitatively and remotely by observing the blood dynamics inside the vessel via Fluorescence Angiography.
Ady Naber, Daniel Berwanger, Werner Nahm
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Automated vessel centerline extraction and diameter measurement in OCT Angiography
Current Directions in Biomedical Engineering, 2021 Optical Coherence Tomography Angiography (OCTA) is a non-invasive imaging technique that enables the visualization of perfused vasculature in vivo. In ophthalmology, it allows the physician to monitor diseases affecting the vascular networks of the ...
Viertel Bernhard K. J. +6 more
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Robust Analysis and Laser Stripe Center Extraction for Rail Images
Applied Sciences, 2021 In this paper, a novel method for the effective extraction of the light stripes in rail images is proposed. First, a preprocessing procedure that includes self-adaptive threshold segmentation and brightness enhancement is adopted to improve the quality ...
Huiping Gao, Guili Xu
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ISPRS International Journal of Geo-Information, 2021 The extraction of roads and centerlines from aerial imagery is considered an important topic because it contributes to different fields, such as urban planning, transportation engineering, and disaster mitigation. Many researchers have studied this topic
Tamara Alshaikhli +2 more
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Extracting 3D parametric curves from 2D images of Helical objects [PDF]
, 2017 Helical objects occur in medicine, biology, cosmetics, nanotechnology, and engineering. Extracting a 3D parametric curve from a 2D image of a helical object has many practical applications, in particular being able to extract metrics such as tortuosity ...
Jackson, Philip T.G. +3 more
core +1 more source
Narrow River Extraction From SAR Images Using Exogenous Information
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Monitoring of rivers is of major scientific and societal importance due to the crucial resource they provide to human activities and the threats caused by flood events. Rapid revisit synthetic aperture radar (SAR) sensors such as Sentinel-1 or the future
Nicolas Gasnier +4 more
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