2024
DOI: 10.1109/tim.2023.3345916
|View full text |Cite
|
Sign up to set email alerts
|

Multiscale Attention-Based Instance Segmentation for Measuring Crystals With Large Size Variation

Theresa Neubauer,
Astrid Berg,
Maria Wimmer
et al.

Abstract: Quantitative measurement of crystals in highresolution images allows for important insights into underlying material characteristics. Deep learning has shown great progress in vision-based automatic crystal size measurement, but current instance segmentation methods reach their limits with images that have large variation in crystal size or hard to detect crystal boundaries. Even small image segmentation errors, such as incorrectly fused or separated segments, can significantly lower the accuracy of the measur… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 49 publications
(76 reference statements)
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?