基于机器视觉的多种果蔬分拣系统

Mathew George
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引用次数: 13

摘要

介绍了一种基于机器视觉的多种果蔬水果分选系统。分级系统的开发是为了减轻劳动密集型工作,并创造产品质量的一致性。目前的水果分类分级系统只适用于一种水果。因此,增加可变背景条件下果蔬识别等特征可以提高农产品的质量。本文提出了一种基于模糊逻辑和K-Means聚类方法,利用低成本的图像采集设备实现多种果蔬分选的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple Fruit and Vegetable Sorting System Using Machine Vision
Multiple Fruit and Vegetable Fruit Sorting System using Machine Vision is presented in this paper. The grading systems were developed for easing the labor intensive work and create consistency in the quality of the product. The current grading systems involved in the fruit sorting cater to only one type of fruit. So by adding more features like fruit and vegetable identification under variable background condition can enhance the quality of the agricultural produce. This paper proposes a technique to achieving multiple fruit and vegetable sorting using fuzzy logic and K-Means clustering method by using a low cost image capturing device.
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