Detection and visualization of encoded local features as anatomical predictors in cross-sectional images of Lauraceae
Abstract This paper describes computer vision-based quantitative microscopy and its application toward better understanding species specificity. An image dataset of the Lauraceae family that consists of nine species across six genera was investigated, and structural features were quantified using en...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2020-03-01
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| Series: | Journal of Wood Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s10086-020-01864-5 |