3D measurement of yarn hairiness via multi-perspective images

2018 ◽  
Author(s):  
Bugao Xu ◽  
Lei Wang ◽  
Weidong Gao
Keyword(s):  
3D Measurement ◽  
Yarn Hairiness

Multi-perspective measurement of yarn hairiness using mirrored images

2016 ◽  
Vol 88 (6) ◽  
pp. 621-629 ◽  
Author(s):  
Lei Wang ◽  
Bugao Xu ◽  
Weidong Gao
Keyword(s):  
3D Model ◽  
Three Dimensional ◽  
Digital Camera ◽  
3D Measurement ◽  
Multiple Perspectives ◽  
Multiple Images ◽  
Image Processing Techniques ◽  
Yarn Hairiness ◽  
Processing Techniques ◽  
Planar Mirrors

Most photoelectric and imaging methods for yarn hairiness measurements often provide underestimated data of hairy fibers measured from light projection, which ignores the spatial orientations and shapes of protruding fibers. In this project, a three-dimensional (3D) system was developed to detect hairy fibers from multiple perspectives and to reconstruct a 3D model for the yarn that permits fibers to be traced spatially. The system utilized two angled planar mirrors to view a yarn from five different perspectives simultaneously, and a digital camera to capture the multiple images in one panoramic picture. The image-processing techniques were used to dissect the panoramic picture into five sub-images containing separate views of the yarn, and to segment the sub-images to obtain yarn silhouettes showing the edges of the yarn and hairy fibers. A 3D model of the yarn could be built by merging the five silhouettes with the angles defined by the scene geometry of the dual mirrors. From the 3D model, hairy fibers protruding from the yarn core could be traced in the space for accurate length measurements. The system represents a simple and practical solution for the 3D measurement of yarn hairiness.

Counterfeit Parts Recognition and Detection for Failure Analysts

2010 ◽  
Author(s):  
Katherine V. Whittington
Keyword(s):  
Thermal Cycle ◽  
Visual Inspection ◽  
Acoustic Microscopy ◽  
Scanning Acoustic Microscopy ◽  
3D Measurement ◽  
X Ray ◽  
Wide Range ◽  
Electronic Parts ◽  
Testing Awareness

Abstract The electronics supply chain is being increasingly infiltrated by non-authentic, counterfeit electronic parts, whose use poses a great risk to the integrity and quality of critical hardware. There is a wide range of counterfeit parts such as leads and body molds. The failure analyst has many tools that can be used to investigate counterfeit parts. The key is to follow an investigative path that makes sense for each scenario. External visual inspection is called for whenever the source of supply is questionable. Other methods include use of solvents, 3D measurement, X-ray fluorescence, C-mode scanning acoustic microscopy, thermal cycle testing, burn-in technique, and electrical testing. Awareness, vigilance, and effective investigations are the best defense against the threat of counterfeit parts.

Automated 3D measurement of fiber cross section morphology in handsheets

2012 ◽  
Vol 27 (2) ◽  
pp. 264-269 ◽  
Author(s):  
Christian Lorbach ◽  
Ulrich Hirn ◽  
Johannes Kritzinger ◽  
Wolfgang Bauer
Keyword(s):  
Image Analysis ◽  
Cross Section ◽  
Cross Sections ◽  
Image Plane ◽  
3D Measurement ◽  
Cross Sectional ◽  
Fiber Cross Section ◽  
Fiber Wall ◽  
Sectional Shape ◽  
Cross Section Geometry

Abstract We present a method for 3D measurement of fiber cross sectional morphology from handsheets. An automated procedure is used to acquire 3D datasets of fiber cross sectional images using an automated microtome and light microscopy. The fiber cross section geometry is extracted using digital image analysis. Simple sample preparation and highly automated image acquisition and image analysis are providing an efficient tool to analyze large samples. It is demonstrated that if fibers are tilted towards the image plane the images of fiber cross sections are always larger than the true fiber cross section geometry. In our analysis the tilting angles of the fibers to the image plane are measured. The resulting fiber cross sectional images are distorted to compensate the error due to fiber tilt, restoring the true fiber cross sectional shape. We use an approximated correction, the paper provides error estimates of the approximation. Measurement results for fiber wall thickness, fiber coarseness and fiber collapse are presented for one hardwood and one softwood pulp.

3D measurement of large-scale object using independent sensors

2017 ◽  
Author(s):  
Liu Yong ◽  
Jia Yuan ◽  
Jiang Yong ◽  
Xia Luo
Keyword(s):  
Large Scale ◽  
3D Measurement

Light field 3D measurement using unfocused plenoptic cameras

2018 ◽  
Vol 43 (15) ◽  
pp. 3746 ◽  
Author(s):  
Zewei Cai ◽  
Xiaoli Liu ◽  
Qijian Tang ◽  
Xiang Peng ◽  
Bruce Zhi Gao
Keyword(s):  
Light Field ◽  
3D Measurement

Quantitative 3D measurement of the nanostructural features that dictate mesoscale performance properties of nanocomposites

2009 ◽  
Vol 31 (9) ◽  
pp. 1495-1503 ◽  
Author(s):  
M. Mahboob ◽  
C. Kagarise ◽  
K.W. Koelling ◽  
S.E. Bechtel
Keyword(s):  
3D Measurement ◽  
Performance Properties
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