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Surface topography characterization using 3D stereoscopic reconstruction of SEM images

Vedantha Krishna, Amogh, 1990- (författare)
Högskolan i Halmstad,Rydberglaboratoriet för tillämpad naturvetenskap (RLAS)
Flys, Olena, 1971- (författare)
RISE,Mätteknik,Halmstad University, Sweden
Reddy, Vijeth Venkataram, 1990- (författare)
Högskolan i Halmstad,Rydberglaboratoriet för tillämpad naturvetenskap (RLAS)
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Rosén, Bengt Göran, 1962- (författare)
Högskolan i Halmstad,Rydberglaboratoriet för tillämpad naturvetenskap (RLAS)
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 (creator_code:org_t)
Bristol : Institute of Physics (IOP), 2018
2018
Engelska.
Ingår i: Surface Topography: Metrology and Properties. - Bristol : Institute of Physics (IOP). - 2051-672X. ; 6:2
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • A major drawback of the optical microscope is its limitation to resolve finer details. Many microscopes have been developed to overcome the limitations set by the diffraction of visible light. The scanning electron microscope (SEM) is one such alternative: it uses electrons for imaging, which have much smaller wavelength than photons. As a result high magnification with superior image resolution can be achieved. However, SEM generates 2D images which provide limited data for surface measurements and analysis. Often many research areas require the knowledge of 3D structures as they contribute to a comprehensive understanding of microstructure by allowing effective measurements and qualitative visualization of the samples under study. For this reason, stereo photogrammetry technique is employed to convert SEM images into 3D measurable data. This paper aims to utilize a stereoscopic reconstruction technique as a reliable method for characterization of surface topography. Reconstructed results from SEM images are compared with coherence scanning interferometer (CSI) results obtained by measuring a roughness reference standard sample. This paper presents a method to select the most robust/consistent surface texture parameters that are insensitive to the uncertainties involved in the reconstruction technique itself. Results from the two-stereoscopic reconstruction algorithms are also documented in this paper.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)

Nyckelord

areal surface texture parameters
coherence scanning interferometer
power spectral density
scanning electron microscope
stereoscopic reconstruction
Image resolution
Interferometers
Light
Photogrammetry
Scanning
Scanning electron microscopy
Spectral density
Stereo image processing
Surface measurement
Surface topography
Three dimensional computer graphics
High magnifications
Reconstruction algorithms
Reconstruction techniques
Reference standard samples
Scanning interferometers
Stereophotogrammetry
Surface texture parameters
The scanning electron microscopes (SEM)
Image reconstruction

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