Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging

Somnath, Suhas; Smith, Christopher R.; Kalinin, Sergei V.; Chi, Miaofang; Borisevich, Albina; Cross, Nicholas; Duscher, Gerd; Jesse, Stephen

doi:10.1186/s40679-018-0052-y

Title: Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging

Journal Article · Thu Mar 01 00:00:00 EST 2018 · Advanced Structural and Chemical Imaging

DOI:https://doi.org/10.1186/s40679-018-0052-y· OSTI ID:1423378

; Smith, Christopher R.; Kalinin, Sergei V.; Chi, Miaofang; Borisevich, Albina; Cross, Nicholas; Duscher, Gerd; Jesse, Stephen

We develop an algorithm for feature extraction based on structural similarity and demonstrate its application for atom and pattern finding in high-resolution electron and scanning probe microscopy images. The use of the combined local identifiers formed from an image subset and appended Fourier, or other transform, allows tuning selectivity to specific patterns based on the nature of the recognition task. The proposed algorithm is implemented in Pycroscopy, a community-driven scientific data analysis package, and is accessible through an interactive Jupyter notebook available on GitHub.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division; USDOE Laboratory Directed Research and Development (LDRD) Program

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1423378

Alternate ID(s):: OSTI ID: 1649654

Journal Information:: Advanced Structural and Chemical Imaging, Journal Name: Advanced Structural and Chemical Imaging Vol. 4 Journal Issue: 1; ISSN 2198-0926

Publisher:: BioMed CentralCopyright Statement

Country of Publication:: Germany

Language:: English

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