Microscope image based fully automated stomata detection and pore measurement method for grapevines

Microscope image based fully automated stomata detection and pore measurement method for grapevines

Abstract Background Stomatal behavior in grapevines has been identified as a good indicator of the water stress level and overall health of the plant. Microscope images are often used to analyze stomatal behavior in plants. However, most of the current approaches involve manual measurement of stomat...

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Bibliographic Details
Main Authors: Hiranya Jayakody, Scarlett Liu, Mark Whitty, Paul Petrie
Format: Article
Language:English
Published: BMC 2017-11-01
Series:Plant Methods
Subjects:
Stomatal morphology
Automatic stomata detection
Cascade object detection
Image processing
Skeletonization
Machine learning
Online Access:http://link.springer.com/article/10.1186/s13007-017-0244-9

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http://link.springer.com/article/10.1186/s13007-017-0244-9

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