2023
DOI: 10.1038/s41598-023-34304-7
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Automatic resin duct detection and measurement from wood core images using convolutional neural networks

Abstract: The structure and features of resin ducts provide valuable information about environmental conditions accompanying the growth of trees in the genus Pinus. Therefore analysis of resin duct characteristics has been an increasingly common measurement in dendrochronology. However, the measurement is tedious and time-consuming since it requires thousands of ducts to be manually marked in an image of an enlarged wood surface. Although tools exist to automate some stages of this process, no tool exists to automatical… Show more

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