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Journal Article

Surface Topography Quantification by Integral and Feature-related Parameters

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45509

Smid,  Michiel
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45268

Ray,  Rahul
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

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Citation

Wendt, U., Lange, K., Smid, M., Ray, R., & Tönnies, K.-D. (2002). Surface Topography Quantification by Integral and Feature-related Parameters. Materialwissenschaft und Werkstofftechnik, 33, 621-627.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-3090-0
Abstract
Using topographical images obtained by confocal laser scanning microscopy, the topography of brittle fracture surfaces and wire-eroded surfaces was quantified. The global topometry values show a significant dependency on the imaging conditions and on the computing algorithm. An algorithm was developed and implemented for the automatic detection and measuring of feature-related parameters in topographies, which uses methods of computational geometry. The software was tested using brittle fracture surfaces of steel.