Hass avocado classification by color and volume using a Kinect sensor
Hass avocado classification by color and volume using a Kinect sensor
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使用 Kinect 传感器按颜色和体积对哈斯鳄梨进行分类
DOI：
10.1117/12.2529843
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Mauricio Ramírez N.
中科院分区：
文献类型：
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作者：
Gustavo Andres Moreno H.;M. Forero;Felipe Gómez A.;Mauricio Ramírez N.
本文介绍了一种自动哈斯牛油果分级系统。该设备由传送带和人工视觉系统组成。颜色分类是根据农业标准确定色阶进行的。从深度图像中获取点的Z坐标，构造一个表示鳄梨形状的函数。它被用来计算鳄梨的体积。50个鳄梨被分类（每秒一个鳄梨）。通过将牛油果浸泡在水中并将位移与估计尺寸相关联，验证了所发现的体积。
In this article an automatic Hass avocado grading system is introduced. The equipment consists of a conveyor belt and an artificial vision system. The color classification was made by determining a color scale according to agricultural standards. From the depth image, the Z coordinate of the points was obtained and a function that represents the shape of the avocado was constructed. It was used to calculate the volume of the avocado. Fifty avocados were classified (one avocado per second). The volume found was validated by the immersion of the avocados in water and correlating the displacement with the estimated dimension.