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Development of a Hyperspectral Imaging System for Online Quality Inspection of Pickling Cucumbers

机译:开发酸洗黄瓜在线质量检验的高光谱成像系统

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This paper reports on the development of a hyperspectral imaging prototype for evaluation of external and internal quality of pickling cucumbers. The prototype consisted of a two-lane round belt conveyor, two illumination sources (one for reflectanceand one for transmittance), and a hyperspectral imaging unit. It had a novel feature of simultaneous imaging under reflectance mode covering the visible region of 400-675 nm and transmittance mode for 675-1000 nm, coupled with real-time, continuous calibration of reflectance and transmittance images for each cucumber using reference standards installed on the conveyor. Reflectance information was used for evaluating the external characteristics of cucumbers (i.e., skin color), transmittance for internaldefect detection (hollow center), and the combined reflectance and transmittance for predicting flesh firmness. The prototype was tested on 'Journey' pickling cucumbers harvested in 2006 and 2007 for predicting skin and flesh color, flesh firmness, andinternal defect. Hyperspectral images were processed to extract mean spectra for individual cucumbers, and partial least squares analysis was performed to predict flesh firmness, skin and flesh color, and the presence of internal defect. The prototype performed relatively well in predicting skin color with the coefficient of determination of 0.76 and 0.75 for chroma and hue respectively; however, it had poor prediction of flesh color and firmness. Transmittance data in the spectral region of 675-1000 nmprovided excellent detection of internal defect for the pickling cucumbers, with the detection accuracy greater than 90%. The hyperspectral imaging technique would be useful for online inspection of surface color and internal defect on picking cucumbers.
机译:本文报告了高光谱成像原型的开发,用于评估酸洗黄瓜的外部和内部质量。原型由双车道圆带式输送机,两个照明源(一个用于透射率的反射率),以及高光谱成像单元。它具有在覆盖400-675nm的可见区域和675-1000nm的可见区域的反射模式下同时成像的新特征,其使用参考标准与每个黄瓜的反射率和透射率图像的反射率和透射率图像相结合输送机。反射信息用于评估黄瓜(即,肤色)的外部特性,用于内部除尘检测(空心中心)的透射率,以及用于预测肉体的组合反射率和透射率。原型在2006年和2007年收获的“旅程”酸洗黄瓜上进行了测试,以预测皮肤和肉体颜色,肉体,血压缺陷。处理过高光谱图像以提取单个黄瓜的平均光谱,并且进行部分最小二乘分析以预测肉体,皮肤和血性颜色以及内部缺陷的存在。原型在预测皮肤颜色,分别测定的肤色分别测定0.76和0.75的肤色进行比较好;然而,它的预测肉体颜色和坚定性差。光谱区域中的透射率数据675-1000 nmprovide的酸洗黄瓜的内部缺陷的优异检测,检测精度大于90%。高光谱成像技术可用于在拾取黄瓜上的表面颜色和内部缺陷的在线检查。

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