食品安全质量检测学报
食品安全質量檢測學報
식품안전질량검측학보
FOOD SAFETY AND QUALITY DETECTION TECHNOLOGY
2015年
8期
2969-2975
,共7页
王振杰%孙晔%顾欣哲%屠康%潘磊庆
王振傑%孫曄%顧訢哲%屠康%潘磊慶
왕진걸%손엽%고흔철%도강%반뢰경
计算机视觉%食品腐败%微生物%检测方法
計算機視覺%食品腐敗%微生物%檢測方法
계산궤시각%식품부패%미생물%검측방법
computer vision%food putrefaction%microorganism%detection methods
食品腐败变质是食品安全问题中最主要的原因之一,据世界卫生组织(WHO)数据统计,每年全球食品工业仅因食品腐败变质带来的经济损失就多达数百亿美元。食品发生腐败变质不仅带来巨大的经济损失,而且给人们健康带来严重危害。食品在生产、加工、储存、运输和销售等各个环节中,当受到微生物、酶作用、机械损伤、病害、光照、氧气等不当的贮藏条件都有可能导致腐败变质。因此,加强对食品腐败变质的检测和监测显得尤为重要。然而,目前现有常用的检测方法存在过程操作繁琐、时效性差或灵敏度较低等缺点,难以满足现代快速准确检测的需要,成为制约食品质量安全的瓶颈。本文主要介绍了计算机视觉技术对微生物、病害引起的食品原料腐败变质的检测,来判断食品腐败变质的程度,并介绍最新进展及研究现状,最后展望了其应用前景。
食品腐敗變質是食品安全問題中最主要的原因之一,據世界衛生組織(WHO)數據統計,每年全毬食品工業僅因食品腐敗變質帶來的經濟損失就多達數百億美元。食品髮生腐敗變質不僅帶來巨大的經濟損失,而且給人們健康帶來嚴重危害。食品在生產、加工、儲存、運輸和銷售等各箇環節中,噹受到微生物、酶作用、機械損傷、病害、光照、氧氣等不噹的貯藏條件都有可能導緻腐敗變質。因此,加彊對食品腐敗變質的檢測和鑑測顯得尤為重要。然而,目前現有常用的檢測方法存在過程操作繁瑣、時效性差或靈敏度較低等缺點,難以滿足現代快速準確檢測的需要,成為製約食品質量安全的瓶頸。本文主要介紹瞭計算機視覺技術對微生物、病害引起的食品原料腐敗變質的檢測,來判斷食品腐敗變質的程度,併介紹最新進展及研究現狀,最後展望瞭其應用前景。
식품부패변질시식품안전문제중최주요적원인지일,거세계위생조직(WHO)수거통계,매년전구식품공업부인식품부패변질대래적경제손실취다체수백억미원。식품발생부패변질불부대래거대적경제손실,이차급인문건강대래엄중위해。식품재생산、가공、저존、운수화소수등각개배절중,당수도미생물、매작용、궤계손상、병해、광조、양기등불당적저장조건도유가능도치부패변질。인차,가강대식품부패변질적검측화감측현득우위중요。연이,목전현유상용적검측방법존재과정조작번쇄、시효성차혹령민도교저등결점,난이만족현대쾌속준학검측적수요,성위제약식품질량안전적병경。본문주요개소료계산궤시각기술대미생물、병해인기적식품원료부패변질적검측,래판단식품부패변질적정도,병개소최신진전급연구현상,최후전망료기응용전경。
Food putrefaction was one of the most important issues of food safety. According to the statistical data of World Health Organization (WHO), the global economic losses due to food spoilage reached up to several tens of billion dollars each year. Rotten food not only brought serious damage to people’s health, but also caused huge economic losses. Serious food spoilage could be carried out in all aspects of food processes, such as processing, storage, transportation and sale, while incorrect conditions were used. Microbes, enzyme, mechanical damage, light and oxygen were also the main factors to lead food spoilage. The detection and monitoring of food spoilage were particularly important. However, traditional detection methods were tedious, time-consuming and low sensitivity, and difficult to meet the speed and accuracy requests of modern industry, which became a bottleneck of food quality and safety supervision. This paper mainly described the latest developments and research progresses on computer vision methods to detect food materials corruption caused by micro-organisms and diseases, and predicted their application prospects.