Automated Extraction of Phenotypic Leaf Traits of Individual Intact Herbarium Leaves from Herbarium Specimen Images Using Deep Learning Based Semantic Segmentation

Automated Extraction of Phenotypic Leaf Traits of Individual Intact Herbarium Leaves from Herbarium Specimen Images Using Deep Learning Based Semantic Segmentation

With the increase in the digitization efforts of herbarium collections worldwide, dataset repositories such as iDigBio and GBIF now have hundreds of thousands of herbarium sheet images ready for exploration. Although this serves as a new source of plant leaves data, herbarium datasets have an inhere...

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Bibliographic Details
Main Authors: Burhan Rashid Hussein, Owais Ahmed Malik, Wee-Hong Ong, Johan Willem Frederik Slik
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
semantic segmentation
object detection
leaf extraction
connected component analysis
plant species identification
herbarium leaf dataset
Online Access:https://www.mdpi.com/1424-8220/21/13/4549

Internet

https://www.mdpi.com/1424-8220/21/13/4549

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