Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learnin...
Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization
About this item
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Author / Creator
Xiong, Xiong , Duan, Lingfeng , Liu, Lingbo , Tu, Haifu , Yang, Peng , Wu, Dan , Chen, Guoxing , Xiong, Lizhong , Yang, Wanneng and Liu, Qian
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
Rice panicle phenotyping is important in rice breeding, and rice panicle segmentation is the first and key step for image-based panicle phenotyping. Because of the challenge of illumination differentials, panicle shape deformations, rice accession variations, different reproductive stages and the field's complex background, rice panicle segmentatio...
Alternative Titles
Full title
Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization
Authors, Artists and Contributors
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_7fb3baec228a4f5aa422e7c89ed1c1c4
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7fb3baec228a4f5aa422e7c89ed1c1c4
Other Identifiers
ISSN
1746-4811
E-ISSN
1746-4811
DOI
10.1186/s13007-017-0254-7
