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A Grading Method for Mangoes on the Basis of Peel Color Measurement Using a Computer Vision System

机译:基于计算机视觉系统的果皮颜色测量的芒果分级方法

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An objective grading method using a Computer Vision System (CVS) for mangoes is proposed. Red peel was selected using two types of color space values at chroma = 22 and hue angle = 52°. Eighteen out of 25 fully-ripened fruits were graded as “excellent,” determined by the share of red area per fruit being in the range of 80% - 100%. In contrast, all green-mature fruits were graded as “fair,” where the share of red area per fruit was - 0.0542x + 7.83), with a correlation coefficient accuracy of 0.94 and root mean square error of 1.31 mg·kg-1. This result may be effective for the visualization of anthocyanin distribution on mango skin. The threshold for red peel can be in the range of 131 - 186 mg·kg-1. This suggests that the pigment concentration is usable as a universal threshold. This value is unaffected by conditions for image acquisition or color measurement (e.g., light source, sensor, filter, and optical geometry), unlike color space values as hue angle.
机译:提出了一种使用计算机视觉系统(CVS)对芒果进行客观分级的方法。使用两种颜色空间值在色度= 22和色相角= 52°时选择红皮。 25个完全成熟的水果中有18个被评为“优秀”,这取决于每个水果的红色区域所占的比例在80%-100%的范围内。相比之下,所有绿色成熟果实均被评为“一般”,其中每个果实的红色面积份额为-0.0542x + 7.83),相关系数精度为0.94,均方根误差为1.31 mg·kg-1 。该结果对于可视化芒果皮上的花色苷分布可能是有效的。红皮的阈值范围为131-186 mg·kg-1。这表明颜料浓度可用​​作通用阈值。该值不受图像获取或颜色测量的条件(例如光源,传感器,滤光器和光学几何形状)的影响,这与色空间值作为色相角不同。

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