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

ABSTRACT: 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.

SUBMITTER: Somnath S

PROVIDER: S-EPMC5846807 | biostudies-other | 2018

REPOSITORIES: biostudies-other

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

Somnath Suhas S Smith Christopher R CR Kalinin Sergei V SV Chi Miaofang M Borisevich Albina A Cross Nicholas N Duscher Gerd G Jesse Stephen S

Advanced structural and chemical imaging 20180301 1

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 ana ...[more]

PMID: 29568723

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