Development of hyperspectral imaging technique for the detection of apple surface defects and contaminations

Development of hyperspectral imaging technique for the detection of apple surface defects and contaminations
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DOI:
10.1016/s0260-8774(03)00188-2
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发表时间:
2004-01-01
影响因子:
5.5
通讯作者:
Chan, DE
Chan, DE
中科院分区:
农林科学1区
文献类型:
--
作者:
Mehl, PM;Chen, YR;Chan, DE

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高空间分辨率(0.5-1.0毫米)的高光谱成像系统作为一种工具,选择更好的多光谱方法来检测有缺陷的和污染的食品和农产品。给出了对高光谱图像光谱带进行直接线性或非线性分析的示例,从而实现更有效的多光谱成像技术。比较了各种图像分析方法用于检测红果、金果、嘎拉和富士苹果表面的缺陷和/或污染。研究的表面缺陷/污染包括侧腐、擦伤、蝇斑、结痂和霉菌、真菌病(如黑痘)和土壤污染。在430-900 nm的光谱范围内的光谱响应的差异进行了分析,使用单色图像和二次差分析方法分选健康和污染的苹果。一个不对称的二阶差分方法,使用叶绿素吸收波段在685 nm和两个波段在近红外区域的显示,以提供良好的检测缺陷/污染部分的苹果,独立于苹果的颜色和品种。非对称二阶差分方法简单,计算量小,是一种易于实现的多光谱成像技术。爱思唯尔有限公司出版
A high spatial resolution (0.5-1.0 mm) hyperspectral imaging system is presented as a tool for selecting better multispectral methods to detect defective and contaminated foods and agricultural products. Examples of direct linear or non-linear analysis of the spectral bands of hyperspectral images that resulted in more efficient multispectral imaging techniques are given. Various image analysis methods for the detection of defects and/or contaminations on the surfaces of Red Delicious, Golden Delicious, Gala, and Fuji apples are compared. Surface defects/contaminations studied include side rots, bruises, flyspecks, scabs and molds, fungal diseases (such as black pox), and soil contaminations. Differences in spectral responses within the 430-900 nm spectral range are analyzed using monochromatic images and second difference analysis methods for sorting wholesome and contaminated apples. An asymmetric second difference method using a chlorophyll absorption waveband at 685 nm and two bands in the near-infrared region is shown to provide excellent detection of the defective/contaminated portions of apples, independent of the apple color and cultivar. Simple and requiring less computation than other methods such as principal component analysis, the asymmetric second difference method can be easily implemented as a multispectral imaging technique. Published by Elsevier Ltd.