Beichl, I.
, Bernstein, J.
and Karim, A.
(2021),
Automated Image Processing Tools for High Throughput Measurements of Polymer Coatings; Initial Report on Software to Quantify Features, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD
(Accessed September 9, 2024)
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Automated Image Processing Tools for High Throughput Measurements of Polymer Coatings; Initial Report on Software to Quantify Features
Published
Author(s)
, J B. Bernstein,
Abstract
We have developed a series of Matlab programs to analyze photographs of polymer dewetting. This internal report provides details of how the program works, what they do, and how users can fine tune the output. Recently, the combinatorial dewetting studies of polymer thin films were published by NIST researchers. The dewetting data were produced by automated microscopy and collected in the form of images of polymers films subject to variations of temperature, thickness and time. In this report we describe methods used on images for three stages of dewetting. It involves tools for feature recognition, thresholding and data cleaning, geometric characterization of dewetting holes, and Voronoi cells analysis for late stage dewetting.Citation
NIST Interagency/Internal Report (NISTIR) - 6869
Report Number
6869
NIST Pub Series
Pub Type
NIST Pubs
Keywords
combinatorial dewetting, datamining, feature recognition, image analysis, matlab program, thresholding
Citation
Issues
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Created October 12, 2021