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Heating Patterns Recognition in Industrial Microwave-Processed Foods

机译:加热模式在工业微波加工食品中识别

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摘要

Recognition or identification of hot and cold spot heating patterns in microwave-processed pre-packaged food products is crucial to determine experimental repeatability and design better and safer food treatment systems. This review focuses on computer vision-based methods for heating patterns recognition from the literature along with their limitations. A preliminary kinetics study to correlate colour to varied timetemperature combinations is also discussed.
机译:在微波处理的预包装食品中识别或识别热和冷点加热图案对于确定实验性重复性和设计更好和更安全的食品处理系统至关重要。本综述重点介绍了基于计算机视觉的方法,用于加热模式从文献中识别出来的局限性。还讨论了将颜色与各个温度组合相关的初步动力学研究。

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