基于高光谱图像技术的水果表面农药残留检测试验研究

薛龙; 黎静; 刘木华

光学学报, 2008, 28 (12): 2277, 网络出版: 2008-12-17

基于高光谱图像技术的水果表面农药残留检测试验研究下载： 513次

Detecting Pesticide Residue on Navel Orange Surface by Using Hyperspectral Imaging

论文大纲

薛龙 ^1,2,*黎静 ²刘木华 ²

作者单位

¹ 华东交通大学机电工程学院, 江西南昌 330013

² 江西农业大学工学院, 江西南昌 330045

摘要

以脐橙为研究对象,初步探讨了应用高光谱图像技术检测水果表面农药残留的方法。用蒸馏水把农药分别配置成1:20,1:100和1:1000倍的溶液。然后把同种不同浓度的溶液滴到10个洗净的脐橙表面,溶液量约为120 μL,200 μL和400 μL,脐橙表面形成一个3×3的矩阵形状。将水果放置到通风阴凉处放168 h后,拍摄图像。采集脐橙在625～725 nm范围的高光谱图像,应用主成分分析方法(PCA)获得特征波长的图像,应用第三主成分图像(PC-3)并经过适当的图像处理方法对脐橙表面的农药残留进行检测。检测结果表明,高光谱技术对检测较高浓度农药残留非常明显。

Abstract

The Detection of fruit contaminate with pesticide residue is a public health concern. The pesticide was diluted to 1:20, 1:100 and 1:1000 solution with distilled water. A 3×3 matrix of dilutions was applied to 10 cleaned sample with 120 μL, 200 μL and 400 μL. After 168h, hyperspectral images in the wavelength range from 625 nm to 725 nm are taken. The characteristic wavelength images are achieved by principal component analysis (PCA). Combining the 3rd principal component (PC) image with proper image processing methods detects the pesticide residue on navel orange. This research shows that the technology of hyperspectral imaging can be used to effectively detect pesticide residue on fruit surface.

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薛龙, 黎静, 刘木华. 基于高光谱图像技术的水果表面农药残留检测试验研究[J]. 光学学报, 2008, 28(12): 2277. Xue Long, Li Jing, Liu Muhua. Detecting Pesticide Residue on Navel Orange Surface by Using Hyperspectral Imaging[J]. Acta Optica Sinica, 2008, 28(12): 2277.

基于高光谱图像技术的水果表面农药残留检测试验研究下载： 513次

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