• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于图像处理的山地栽培人参数字识别

[Digital Identification Based on Image Processing for Mountain Cultivated Ginseng].

作者信息

Xu Shi-yi, Shi Lei, Zhai Fei, Mu Shan-xue, Xu Wei, Chen Yu

出版信息

Zhong Yao Cai. 2016 Feb;39(2):281-3.

PMID:30080348
Abstract

OBJECTIVE

To identify mountain cultivated ginseng using a digital method.

METHODS

Image information of mountain cultivated ginseng was processed using the Matlab 2014 a software box. Based on the shape, color and texture features,18 image information from ginseng rhizome, body, grain, peel, fibrous root, were extracted and a digital mountain cultivated ginseng database model was established.

RESULTS

Digital identification based on image processing could be met by the features obtained from mountain cultivated ginseng. The recognition rate of ginseng was 96%.

CONCLUSION

A lot of information from ginseng were extracted based on image processing. A fast and accurate digital identification of mountain cultivated ginseng is achieved successfully undamaged.

摘要

目的

采用数字化方法鉴别山参。

方法

利用Matlab 2014 a软件包对山参的图像信息进行处理。基于形状、颜色和纹理特征,从人参根茎、主体、籽粒、表皮、须根中提取18项图像信息,并建立了数字化山参数据库模型。

结果

从山参中获取的特征能够实现基于图像处理的数字识别。人参的识别率为96%。

结论

基于图像处理提取了大量人参信息。成功实现了对山参的快速、准确的无损数字识别。

相似文献

1
[Digital Identification Based on Image Processing for Mountain Cultivated Ginseng].基于图像处理的山地栽培人参数字识别
Zhong Yao Cai. 2016 Feb;39(2):281-3.
2
A novel method for age identification of mountain-cultivated ginseng.一种鉴定人工种植人参年龄的新方法。
Microsc Res Tech. 2023 Sep;86(9):1197-1205. doi: 10.1002/jemt.24393. Epub 2023 Jul 28.
3
Recognition of the rhizome of red ginseng based on spectral-image dual-scale digital information combined with intelligent algorithms.基于光谱-图像双尺度数字信息结合智能算法的红参根茎识别。
Spectrochim Acta A Mol Biomol Spectrosc. 2023 Sep 5;297:122742. doi: 10.1016/j.saa.2023.122742. Epub 2023 Apr 15.
4
[Fingerprint comparison of mountain cultivated ginseng and wild ginseng by HPLC].[采用高效液相色谱法对山参和园参进行指纹图谱比较]
Zhong Yao Cai. 2013 Feb;36(2):213-6.
5
Treatment with Mountain-Cultivated Ginseng Alleviates Trimethyltin-Induced Cognitive Impairments in Mice via IL-6-Dependent JAK2/STAT3/ERK Signaling.山地种植人参治疗通过IL-6依赖的JAK2/STAT3/ERK信号通路减轻三甲基锡诱导的小鼠认知障碍。
Planta Med. 2017 Nov;83(17):1342-1350. doi: 10.1055/s-0043-111896. Epub 2017 May 30.
6
[Nondestructive recognization of mountain cultivated ginseng and garden cultivated ginseng by FTIR microspectroscopy].傅里叶变换红外光谱显微技术对山参和园参的无损鉴别
Guang Pu Xue Yu Guang Pu Fen Xi. 2013 Nov;33(11):3028-31.
7
Identification and analysis of differentially expressed genes in mountain cultivated ginseng and mountain wild ginseng.山地栽培人参和山地野生人参中差异表达基因的鉴定与分析。
J Acupunct Meridian Stud. 2011 Jun;4(2):123-8. doi: 10.1016/S2005-2901(11)60018-6.
8
Metabolomics approach to growth-age discrimination in mountain-cultivated ginseng (Panax ginseng C. A. Meyer) using ultra-high-performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry.基于超高效液相色谱-四极杆飞行时间质谱联用的代谢组学方法鉴定和区分人工种植人参的生长年龄
J Sep Sci. 2023 Nov;46(22):e2300445. doi: 10.1002/jssc.202300445. Epub 2023 Sep 22.
9
Soil properties of cultivation sites for mountain-cultivated ginseng at local level.山参栽培地的土壤特性。
J Ginseng Res. 2015 Jan;39(1):76-80. doi: 10.1016/j.jgr.2014.06.004. Epub 2014 Jun 19.
10
An online derivatization strategy targeting carbon-carbon double bonds by laser-ablation carbon fiber ionization mass spectrometry imaging: Unraveling the spatial characteristic in mountain-cultivated ginseng and garden-cultivated ginseng with different ages.一种通过激光烧蚀碳纤维电离质谱成像靶向碳-碳双键的在线衍生化策略:揭示不同年龄山参和园参的空间特征。
Food Chem. 2023 Jun 1;410:135365. doi: 10.1016/j.foodchem.2022.135365. Epub 2022 Dec 30.