Paper
7 June 2002 Detection of sample parameters in secondary electron microscope images: test results
Sowmya Mahadevan, David P. Casasent
Author Affiliations +
Abstract
Secondary electron microscope images (SEIs) are analyzed in an automatic system to provide material properties for fracture analyses etc. The image processing presently used is summarized and initial results presented. Our new grain boundary (GB) detection and line following algorithms are presented. Line following locates triple junctions (TJs) (points where 3 grains meet). Initial versions of advanced algorithms to calculate TJ angles, reduce false GBs and TJs and select a reduced number of good probe points are advanced using a new noise map. Registration and formation of mosaic images are also addressed. Results on about 2000 sector images in 5 slices are presented.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sowmya Mahadevan and David P. Casasent "Detection of sample parameters in secondary electron microscope images: test results", Proc. SPIE 4735, Hybrid Image and Signal Processing VIII, (7 June 2002); https://doi.org/10.1117/12.470107
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image processing

Binary data

Image filtering

Image registration

Electron microscopes

3D image processing

Detection and tracking algorithms

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