Results 1 to 10 of about 17,720 (202)

Content-Aware SLIC Super-Pixels for Semi-Dark Images (SLIC++) [PDF]

open access: yesSensors, 2022
Super-pixels represent perceptually similar visual feature vectors of the image. Super-pixels are the meaningful group of pixels of the image, bunched together based on the color and proximity of singular pixel.
Manzoor Ahmed Hashmani   +5 more
doaj   +3 more sources

Fatigue crack growth rates for offshore wind monopile weldments in air and seawater: SLIC inter-laboratory test results [PDF]

open access: yesMaterials & Design, 2017
The majority of fatigue crack growth (FCG) data sets available on steels in air and seawater environments are several decades old and may not be appropriate for structural integrity assessment of offshore wind turbine foundations, which are fabricated ...
Ali Mehmanparast   +2 more
doaj   +4 more sources

Purifying SLIC Superpixels to Optimize Superpixel-Based Classification of High Spatial Resolution Remote Sensing Image

open access: yesRemote Sensing, 2019
Fast and accurate classification of high spatial resolution remote sensing image is important for many applications. The usage of superpixels in classification has been proposed to accelerate the speed of classification.
Hengjian Tong, Fei Tong, Yun Zhang
exaly   +3 more sources

A Novel Approach for Tissue Analysis in Joint Infections Using the Scattered Light Integrating Collector (SLIC) [PDF]

open access: yesBiosensors
Total joint arthroplasty is among the most common surgical procedures performed worldwide, with frequency increasing due to demographic changes. Accelerating the diagnostic process using new techniques is crucial for effective therapy.
Elio Assaf   +13 more
doaj   +2 more sources

Rapid one-step CRISPR-cas vector assembly by isothermal spacer removal linearization and sequence-ligation independent cloning (ISRL-SLIC) [PDF]

open access: yesMethodsX
CRISPR-Cas genome editing is a powerful tool in various fields, but current cloning methods can be time-consuming due to the frequent use of intermediate entry vectors and multiple steps involving restriction enzymes and ligases. These multiple steps can
Claus Krogh Madsen   +3 more
doaj   +2 more sources

Sagittal balance parameters measurement on cervical spine MR images based on superpixel segmentation [PDF]

open access: yesFrontiers in Bioengineering and Biotechnology
Introduction: Magnetic Resonance Imaging (MRI) is essential in diagnosing cervical spondylosis, providing detailed visualization of osseous and soft tissue structures in the cervical spine.
Yi-Fan Zhong   +38 more
doaj   +2 more sources

Legume content estimation from UAV image in grass-legume meadows: comparison methods based on the UAV coverage vs. field biomass [PDF]

open access: yesScientific Reports
Legume content (LC) in grass-legume mixtures is important for assessing forage quality and optimizing fertilizer application in meadow fields. This study focuses on differences in LC measurements obtained from unmanned aerial vehicle (UAV) images and ...
Kensuke Kawamura   +10 more
doaj   +2 more sources

DAPE cloning with modified primers for producing designated lengths of 3' single-stranded ends in PCR products. [PDF]

open access: yesPLoS ONE
For in vitro DNA assembly, enzymes with exonuclease activities have been utilized to generate relatively long recessed ends on DNA fragments, which can anneal to other DNA fragments if they have complementary nucleotide sequences.
Seoee Lee   +5 more
doaj   +2 more sources

A METHOD FOR UNIVERSAL SUPERCELLS-BASED REGIONALIZATION (PRELIMINARY RESULTS) [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Geospatial data comes in various forms, including multi and hyperspectral images but also rasters of local composition, local time series, local patterns, etc.
J. Nowosad, T. F. Stepinski, M. Iwicki
doaj   +1 more source

Extended SLIC superpixels algorithm for applications to non-imagery geospatial rasters

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2022
Converting an image to a set of superpixels is a useful preprocessing step in many computer vision applications; it reduces the dimensionality of the data and removes noise. The most popular superpixels algorithm is the Simple Linear Iterative Clustering
Jakub Nowosad, Tomasz F. Stepinski
doaj   +1 more source

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