• EI
  • Scopus
  • 食品科学与工程领域高质量科技期刊分级目录第一方阵T1
  • DOAJ
  • EBSCO
  • 北大核心期刊
  • 中国核心学术期刊RCCSE
  • JST China
  • FSTA
  • 中国精品科技期刊
  • 中国农业核心期刊
  • CA
  • WJCI
  • 中国科技核心期刊CSTPCD
  • 中国生物医学SinoMed
中国精品科技期刊2020
李啸宇, 张秋菊. 颗粒状食品视觉检测分选技术的发展[J]. 食品工业科技, 2014, (13): 378-381. DOI: 10.13386/j.issn1002-0306.2014.13.074
引用本文: 李啸宇, 张秋菊. 颗粒状食品视觉检测分选技术的发展[J]. 食品工业科技, 2014, (13): 378-381. DOI: 10.13386/j.issn1002-0306.2014.13.074
LI Xiao-yu, ZHANG Qiu-ju. Development of visual detection and sorting technology for granular food[J]. Science and Technology of Food Industry, 2014, (13): 378-381. DOI: 10.13386/j.issn1002-0306.2014.13.074
Citation: LI Xiao-yu, ZHANG Qiu-ju. Development of visual detection and sorting technology for granular food[J]. Science and Technology of Food Industry, 2014, (13): 378-381. DOI: 10.13386/j.issn1002-0306.2014.13.074

颗粒状食品视觉检测分选技术的发展

Development of visual detection and sorting technology for granular food

  • 摘要: 视觉检测技术在颗粒状食品加工过程中应用广泛,代替了传统的人工分选,保证了检测识别的客观性和准确性,大幅提高了单位时间内高品质颗粒状食品的产量。本文介绍了颗粒状食品品质问题和近代机器视觉关键技术,就近十年来机器视觉检测分选技术在颗粒状食品加工品质检测和分选中的最新研究现状进行了综述,并阐述了现今研究所存在的问题和未来的发展方向。 

     

    Abstract: Instead of the traditional manual sorting, visual detection technology is widely used in granular food processing to ensure the objectivity and accuracy of detection and identification and substantially increase the production quantity of high-quality granular foods per unit time.This paper introduced granular food quality issues and the modern key technologies of machine vision, reviewed the past decade latest research status of sorting machine vision technology used in the food processing and quality testing of granular sorting, and finally pointed out the existed issues in current research and future developing orientation.

     

/

返回文章
返回