Feature detection method for hind leg segmentation of sheep carcass based on multi-scale dual attention U-Net

•A multi-scale dual attention module is designed.•The MDA module is embedded in the hop connection of U-Net network.•Pre and MIoU of MDAU-Net in the training set are 93.76% and 86.94% respectively.•The average offset distance of the cutting point under the tool target was 4.02 mm.•The average segmen...

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Veröffentlicht in:	Computers and electronics in agriculture 2021-12, Vol.191, p.106482, Article 106482
Hauptverfasser:	Xie, Bin, Jiao, Weipeng, Wen, Changkai, Hou, Songtao, Zhang, Fan, Liu, Kaidong, Li, Junlin
Format:	Artikel
Sprache:	eng
Schlagworte:	Carcasses Deep learning Feature recognition Intelligent segmentation Livestock MDAU-Net Meat Modules Muscles Semantic segmentation Semantics Sheep Sheep carcass hind legs
Online-Zugang:	Volltext
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