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2 results for “digital image quantification”

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zenodo32/100

Experimental dataset: stationary images for digital image correlation uncertainty quantification

<div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div>--------------------------------------------------------------------------------&nbsp; <strong>SUMMARY</strong>&nbsp; ---------------------------------------------------------------------------</div> <div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div>&nbsp;</div> <div>Stereo-DIC 5 MPx system was used to capture sets of stationary images for quantification of DIC uncertainties.</div> <div>&nbsp;</div> <div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div>--------------------------------------------------------------------------------&nbsp; <strong>FOLDERS&nbsp; </strong>---------------------------------------------------------------------------</div> <div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div>&nbsp;</div> <div><strong>Image sets:</strong>&nbsp;</div> <div>&nbsp;</div> <div><strong>Set 1: </strong>100 stationary images with cross polarisation to reduce effect of specular reflection. Test sample clamped in the clamps of a uniaxial tensile test bench.</div> <div><strong>Set 2: </strong>Same as set 1, but test sample unclamped at the bottom, displaced by 1 mm vertically. Meant to introduce rigid body motion into teh stationary images.&nbsp;</div> <div>For investigation of the impact of cross-polarisation: image gradients made similar as much as possible by adjusting exposure time and apetrture.&nbsp;</div> <div><strong>Set 3:</strong> With cross polarisation - 100 stationary images.</div> <div><strong>Set 4:</strong> Without cross polarisation - 100 stationary images.</div> <div>&nbsp;</div> <div>Images for stereo calibration:</div> <div>&nbsp;</div> <div><strong>Calib_sets_1_2: </strong>Calibration images for sets 1 and 2 mentioned above&nbsp;</div> <div><strong>Calib_sets_3:</strong> Calibration images for set 3 mentioned above&nbsp;</div> <div><strong>Calib_sets_4: </strong>Calibration images for set 4 mentioned above&nbsp;</div> <div>&nbsp;</div> <div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------</div> <div>------------------------------------------------------------------------&nbsp; <strong>SUPPORTING NINFORMATION </strong>--------------------------------------------------------------------</div> <div>----------------------------------------------------------------------------------------------------------------------------------------------------------------------&nbsp;</div> <div>&nbsp;</div> <div>Image folder for each set contains an *.xaml file with image capture settings.</div> <div>Each calibration image folder contains a *.caldat file with intrinsic and extrinsic stereo camera parameters identified by MatchID 2024.2 DIC package.</div>

opencc-by-4.0Aug 2024View details →
ClinicalTrials.gov32/100

Digital Quantification of Dental Plaque Based on Intraoral Scanner Images

ClinicalTrials.gov study NCT07152314. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →

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International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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OpenNeuro

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