Crop Row Segmentation and Detection in Paddy Fields Based on Treble-Classification Otsu and Double-D...
Crop Row Segmentation and Detection in Paddy Fields Based on Treble-Classification Otsu and Double-Dimensional Clustering Method
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Author / Creator
Yu, Yue , Bao, Yidan , Wang, Jichun , Chu, Hangjian , Zhao, Nan , He, Yong and Liu, Yufei
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Visual navigation is developing rapidly and is of great significance to improve agricultural automation. The most important issue involved in visual navigation is extracting a guidance path from agricultural field images. Traditional image segmentation methods may fail to work in paddy field, for the colors of weed, duckweed, and eutrophic water su...
Alternative Titles
Full title
Crop Row Segmentation and Detection in Paddy Fields Based on Treble-Classification Otsu and Double-Dimensional Clustering Method
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_9ff1bc4a742b429680043aacd2e36c68
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9ff1bc4a742b429680043aacd2e36c68
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs13050901
