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Discrimination analysis of Indian tea varieties based upon color under optimum illumination.

机译:基于最佳照明下颜色的印度茶品种鉴别分析。

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The paper investigates optimum light illumination intensity for maximum discrimination of the Indian black tea varieties using machine vision. The technique involves acquisition and analysis of color information of brewed tea liquor after setting different light illumination intensities between 700 and 1,300 lux. The data involving color attributes was analyzed using principal component analysis. It was observed that best discrimination among these tea varieties was achieved between 1,000 and 1,050 lux. The correlation analysis was also performed to show the relationship between color attributes and tea varieties. The study reveals that color attributes are significant parameters for discriminating Indian black tea varieties. The proposed technique is fast, convenient and low cost over the methods involving chemical analysis. It is an important step towards standardization of quality evaluation of tea by instrumented means
机译:本文研究了最佳的光照强度,以使用机器视觉最大程度地区分印度红茶品种。该技术涉及在700至1300 lux之间设置不同的光照强度后,获取和分析冲泡茶液的颜色信息。使用主成分分析法分析涉及颜色属性的数据。据观察,在这些茶品种中,最好的区分是在1,000至1,050勒克斯之间。还进行了相关分析以显示颜色属性和茶品种之间的关系。研究发现,颜色属性是区分印度红茶品种的重要参数。与涉及化学分析的方法相比,所提出的技术是快速,方便和低成本的。这是通过仪器化手段标准化茶叶质量评估的重要一步

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