教授
发布时间：2022-06-23
点击次数：
| 影响因子： | 7.077 |
| DOI码： | 10.1016/j.meatsci.2022.108898 |
| 所属单位： | 长江大学计算机科学学院 |
| 发表刊物： | Meat Science |
| 刊物所在地： | Amsterdam, Netherlands |
| 项目来源： | 中国高校产学研创新基金（2020ITA03012）；湖北省智能地理信息工程重点实验室开放研究项目 |
| 关键字： | Computer vision; Identifying pork cut; Pork primal cuts; Primal cuts recognition |
| 摘要： | Pork accounts for more than 33% of global meat consumption and dominates meat consumption in China. With the improvement of people's quality of life, people pay more and more attention to the quality of pork. There are many factors that affect the quality of pork, and the cutting position of pork is also one of them. The quality of different pork primal cuts varies greatly. Aiming at the difficulty of distinguishing pork primal cuts, this study proposes a computer vision-based method to identify different pork primal cuts, using images of four different pork primal cuts (ham, loin, belly, and neck) as the experimental data, the results show that the method proposed in this paper can identify the original cuts of pork well. It also proves that computer vision technology has the potential to help people identify pork cuts. |
| 合写作者： | Zhiqiang Du, Shengbing Hong, Tianyu Dong, Jinhui She, Chao Min |
| 第一作者： | Huazi Huang |
| 论文类型： | 期刊论文 |
| 通讯作者： | Wei Zhan |
| 论文编号： | 20260830-012 |
| 学科门类： | 工学 |
| 一级学科： | 食品科学与工程 |
| 文献类型： | 期刊 |
| 卷号： | 192 |
| 页面范围： | 108898 |
| ISSN号： | 0309-1740 |
| 发表时间： | 2022-10-31 |
