Materials characterization through quantitative digital image analysis | Zendy

J. Philliber | Zendy; Bonnie R. Antoun | Zendy; Brian P. Somerday | Zendy; Nan Yang | Zendy

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Materials characterization through quantitative digital image analysis

Author(s) -

J. Philliber,

Bonnie R. Antoun,

Brian P. Somerday,

Nan Yang

Publication year - 2000

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/758329

Subject(s) - pixel , digital image , computer science , brightness , computer vision , computer graphics (images) , image processing , macro , digital imaging , translation (biology) , artificial intelligence , digital image processing , characterization (materials science) , image (mathematics) , materials science , optics , physics , nanotechnology , biochemistry , chemistry , messenger rna , gene , programming language

A digital image analysis system has been developed to allow advanced quantitative measurement of microstructural features. This capability is maintained as part of the microscopy facility at Sandia, Livermore. The system records images digitally, eliminating the use of film. Images obtained from other sources may also be imported into the system. Subsequent digital image processing enhances image appearance through the contrast and brightness adjustments. The system measures a variety of user-defined microstructural features--including area fraction, particle size and spatial distributions, grain sizes and orientations of elongated particles. These measurements are made in a semi-automatic mode through the use of macro programs and a computer controlled translation stage. A routine has been developed to create large montages of 50+ separate images. Individual image frames are matched to the nearest pixel to create seamless montages. Results from three different studies are presented to illustrate the capabilities of the system

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