基于高光谱成像技术的灵武长枣缺陷识别

为研究快速识别灵武长枣表面裂痕、虫眼、碰伤等常见缺陷的有效方法,利用特征波长主成分分析法结合波段比算法进行长枣裂痕、虫眼、碰伤识别。首先,采用近红外（Near Infrared Reflection,NIR）波段范围的高光谱成像系统获取300个长枣反射图像,提取并分析各类型长枣光谱曲线,选择918~1 678 nm波段范围进行主成分分析,通过权重系数提取特征波长;然后,对特征波长下图像进行主成分分析,选择最优的主成分图像进行识别;最后,对未识别的长枣图像采用波段比算法进一步进行识别。NIR波段的正常枣、虫眼枣、裂痕枣、碰伤枣的识别率分别100%、90%、86%、100%。结果表明：NIR高光谱...

Full description

Saved in:
Bibliographic Details
Published in农业工程学报 Vol. 31; no. 20; pp. 281 - 286
Main Author 吴龙国 王松磊 康宁波 何建国 贺晓光
Format Journal Article
LanguageChinese
Published 宁夏大学土木水利工程学院,银川,750021%宁夏大学土木水利工程学院,银川 750021 2015
宁夏大学农学院,银川 750021%宁夏大学农学院,银川,750021
Subjects
主成分分析
无损检测
缺陷
长枣
高光谱成像
主成分分析
non-destructive detection
缺陷
长枣
long jujubes
defects
高光谱成像
无损检测
hyperspectral imaging
principal component analysis
Online AccessGet full text

Cover

More Information
Summary:为研究快速识别灵武长枣表面裂痕、虫眼、碰伤等常见缺陷的有效方法,利用特征波长主成分分析法结合波段比算法进行长枣裂痕、虫眼、碰伤识别。首先,采用近红外（Near Infrared Reflection,NIR）波段范围的高光谱成像系统获取300个长枣反射图像,提取并分析各类型长枣光谱曲线,选择918~1 678 nm波段范围进行主成分分析,通过权重系数提取特征波长;然后,对特征波长下图像进行主成分分析,选择最优的主成分图像进行识别;最后,对未识别的长枣图像采用波段比算法进一步进行识别。NIR波段的正常枣、虫眼枣、裂痕枣、碰伤枣的识别率分别100%、90%、86%、100%。结果表明：NIR高光谱成像仪对长枣外部缺陷识别是可行的,为多光谱成像技术应用于在线检测长枣品质提供了理论依据。
Bibliography:Zizphus jujube Mill cv.Lingwu changzao, as one of characteristic agricultural products in Ningxia, is favored by the broad consumer for its high nutritional value. However, the external quality of long jujube will affect directly its sale and storage. In the traditional detection method, it has several disadvantages such as time-consuming, laborious and low efficiency, etc. Hyperspectral imaging technique has become an important trend to employ nondestructive testing of fruit quality, because it simultaneously has the merit of spectral technique and imaging technique. In order to study an effective method for quickly detecting common defects（bruise, insect-infested and cracks） on jujube fruits, the methods of principal component analysis（PCA） on the optimal wavelengths combined with band ratio（BR） were applied to identify the crack, insect and bruised jujubes. In the first place, a total of 300 samples were placed in 4℃ refrigerator storage, including a set of 100 defective jujubes with cracks; a set of 100 i
ISSN:1002-6819
DOI:10.11975/j.issn.1002-6819.2015.20.039