scholarly journals Development of a Digital Image Projection Technique to Measure Wind-Driven Water Film Flows

2013 ◽  
Author(s):  
Hui Hu ◽  
Kai Zhang ◽  
Song Zhang ◽  
Alric Rothmayer
Keyword(s):  
Digital Image ◽  
Water Film ◽  
Projection Technique ◽  
Image Projection ◽  
Film Flows

scholarly journals Measurement for the Thickness of Water Droplets/Film on a Curved Surface with Digital Image Projection (DIP) Technique

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2409
Author(s):  
Lingwei Zeng ◽  
Hanfeng Wang ◽  
Ying Li ◽  
Xuhui He
Keyword(s):  
Theoretical Analysis ◽  
Systematic Error ◽  
Digital Image ◽  
Systematic Errors ◽  
Curved Surface ◽  
Water Droplets ◽  
Image Projection

Digital image projection (DIP) with traditional vertical calibration cannot be used for measuring the water droplets/film on a curved surface, because significant systematic error will be introduced. An improved DIP technique with normal calibration is proposed in the present paper, including the principles, operation procedures and analysis of systematic errors, which was successfully applied to measuring the water droplets/film on a curved surface. By comparing the results of laser profiler, traditional DIP, improved DIP and theoretical analysis, advantages of the present improved DIP technique are highlighted.

scholarly journals Digital Image Projection for 3D Ice Crystal Icing Accretion Measurements

2020 ◽  
Author(s):  
Jonathan Connolly ◽  
Matthew McGilvray ◽  
David R. Gillespie ◽  
Geoff Jones ◽  
Benjamin Collier
Keyword(s):  
Digital Image ◽  
Ice Crystal ◽  
Image Projection

Augmented reality–guided neurosurgery: accuracy and intraoperative application of an image projection technique

2015 ◽  
Vol 123 (1) ◽  
pp. 206-211 ◽  
Author(s):  
Leila Besharati Tabrizi ◽  
Mehran Mahvash
Keyword(s):  
Augmented Reality ◽  
Neurosurgical Procedures ◽  
Fiducial Markers ◽  
Projection Technique ◽  
Image Guided ◽  
Augmented Reality System ◽  
Brain Surface ◽  
Image Projection ◽  
The Mean ◽  
Projection Error

OBJECT An augmented reality system has been developed for image-guided neurosurgery to project images with regions of interest onto the patient's head, skull, or brain surface in real time. The aim of this study was to evaluate system accuracy and to perform the first intraoperative application. METHODS Images of segmented brain tumors in different localizations and sizes were created in 10 cases and were projected to a head phantom using a video projector. Registration was performed using 5 fiducial markers. After each registration, the distance of the 5 fiducial markers from the visualized tumor borders was measured on the virtual image and on the phantom. The difference was considered a projection error. Moreover, the image projection technique was intraoperatively applied in 5 patients and was compared with a standard navigation system. RESULTS Augmented reality visualization of the tumors succeeded in all cases. The mean time for registration was 3.8 minutes (range 2–7 minutes). The mean projection error was 0.8 ± 0.25 mm. There were no significant differences in accuracy according to the localization and size of the tumor. Clinical feasibility and reliability of the augmented reality system could be proved intraoperatively in 5 patients (projection error 1.2 ± 0.54 mm). CONCLUSIONS The augmented reality system is accurate and reliable for the intraoperative projection of images to the head, skull, and brain surface. The ergonomic advantage of this technique improves the planning of neurosurgical procedures and enables the surgeon to use direct visualization for image-guided neurosurgery.

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