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Image Processing Techniques for Analysing Food Grains

机译:用于分析粮食的图像处理技术

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Food consumed in daily diet consists of fruits, cereal grains and spices. Cereal grains are considered to be the most important part as it meets the nutrition needs of the human population. It is necessary to check the quality of food before consuming as it directly impacts on health. Amongst the various food analysis techniques this paper focuses on a semi-automated, an image processing and two machine learning techniques with their advantages and limitations.
机译:日常饮食中消耗的食物包括水果,谷物和香料。谷物被认为是最重要的部分,因为它满足了人们的营养需求。食用前必须检查食物的质量,因为它直接影响健康。在各种食品分析技术中,本文重点介绍了半自动,图像处理和两种机器学习技术,它们都有各自的优势和局限性。

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