食品工业科技2025，Vol.46Issue(6)：30-42,13.DOI:10.13386/j.issn1002-0306.2024040493
基于可见光和先进成像技术的粮食不完善粒快速检测研究进展
Research Progress on Rapid Detection of Unsound Kernels Based on Visible Light and Advanced Imaging Technology
摘要
Abstract
The presence of unsound kernels in grain reduces its quality and adversely affects processed grain products.The content of unsound kernels also impacts the quality grading of grain according to national purchase standards,leading to economic losses.Traditional detection methods such as manual inspection and chemical reagents are subjective,time-consuming,and do not align with current trends favoring rapid and precise detection.Visible light imaging technology offers fast operation and imaging speed but cannot discern internal grain characteristics.Advanced imaging technologies with high resolution and rapid detection capabilities have thus become pivotal in the field of unsound kernel detection.This paper reviews various imaging techniques utilized for detecting unsound kernels in grain,including visible light imaging,X-ray,thermal imaging,hyperspectral and multispectral imaging,and terahertz imaging.It discusses and compares the strengths and weaknesses of these techniques.The paper introduces the visual appearance and internal feature information of grain separately,highlighting the research progress in combining imaging techniques with machine learning methods for unsound kernel detection.Finally,it outlines current challenges and discusses future directions for improvement,aiming to provide valuable insights for innovative applications in unsound kernel detection in grain.关键词
不完善粒/可见光成像/X射线成像/热成像/高光谱和多光谱成像/太赫兹成像/机器学习Key words
unsound kernels/visible light imaging/X-ray imaging/thermal imaging/hyperspectral and multispectral imaging/terahertz imaging/machine learning分类
轻工纺织引用本文复制引用
葛宏义,王恒,郭春燕,蒋玉英,张元,孙振雨,季晓迪,吴旭阳,冯博,周文慧..基于可见光和先进成像技术的粮食不完善粒快速检测研究进展[J].食品工业科技,2025,46(6):30-42,13.基金项目
国家自然科学基金项目(61975053,62271191) （61975053,62271191）
河南省自然科学基金项目(222300420040) （222300420040）
河南省高校科技创新人才支持计划项目(22HASTIT017,23HASTIT024) （22HASTIT017,23HASTIT024）
河南省联合基金项目(222103810072). （222103810072）
