Hyperspectral waveband selection for internal defect detection of pickling cucumbers and whole pickles
Hyperspectral waveband selection for internal defect detection of pickling cucumbers and whole pickles
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DOI：
10.1016/j.compag.2010.07.008
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发表时间：
2010-10-01
影响因子：
8.3
通讯作者：
Lu, Renfu
中科院分区：
文献类型：
--
作者：
Ariana, Diwan P.;Lu, Renfu
透射模式下的高光谱成像已显示出检测内部缺陷的潜力，但由于需要采集和分析大量图像数据，该技术仍无法满足在线速度要求。本研究的目的是选择重要的波段，以进一步开发在线检测系统，以检测腌黄瓜和整个泡菜的内部缺陷。使用原型高光谱反射率（400-740 nm）/透射率（740-1000 nm）成像系统从正常和有缺陷的黄瓜以及整个泡菜获取高光谱透射率/反射率图像。通过分支定界算法与 k 最近邻分类器相结合，确定了多达四个波段的子集。还比较了不同的波段合并操作，以确定每个波段组合的带宽要求。使用最佳四波段组（20 nm 光谱分辨率下的 745、805、965 和 985 nm）对黄瓜以及整个泡菜的 40 nm 光谱分辨率下的 745、765、885 和 965 nm 分别实现了 94.7% 和 82.9% 的最高分类精度。所选波段组将有助于腌制黄瓜和泡菜的在线质量检测。 (C) 2010 Elsevier B.V. 保留所有权利。
Hyperspectral imaging under transmittance mode has shown potential for detecting internal defect, however, the technique still cannot meet the online speed requirement because of the need to acquire and analyze a large amount of image data. This study was carried out to select important wavebands for further development of an online inspection system to detect internal defect in pickling cucumbers and whole pickles. Hyperspectral transmittance/reflectance images were acquired from normal and defective cucumbers and whole pickles using a prototype hyperspectral reflectance (400-740 nm)/transmittance (740-1000 nm) imaging system. Up to four-waveband subsets were determined by a branch and bound algorithm combined with the k-nearest neighbor classifier. Different waveband binning operations were also compared to determine the bandwidth requirement for each waveband combination. The highest classification accuracies of 94.7 and 82.9% were achieved using the optimal four-waveband sets of 745, 805, 965, and 985 nm at 20 nm spectral resolution for cucumbers and of 745, 765, 885, and 965 nm at 40 nm spectral resolution for whole pickles, respectively. The selected waveband sets will be useful for online quality detection of pickling cucumbers and pickles. (C) 2010 Elsevier B.V. All rights reserved.