Abstract
An automated segmentation method of goat trunk with machine vision and machine learning was proposed. 396 images of goat trunk were acquired randomly in a goat slaughtering plant by using two industrial cameras. 24 sets of feature parameters were extracte
Publication Date
6-28-2020
First Page
125
Last Page
132
DOI
10.13652/j.issn.1003-5788.2020.06.023
Recommended Citation
Zhen-qiang, LI; Shu-cai, WANG; Shi-da, ZHAO; and Yu-quan, WANG
(2020)
"The calculation methods of goat trunk’s segmentation trajectory based on machine vision and machine learning,"
Food and Machinery: Vol. 36:
Iss.
6, Article 23.
DOI: 10.13652/j.issn.1003-5788.2020.06.023
Available at:
https://www.ifoodmm.cn/journal/vol36/iss6/23
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