基于高光谱成像的苹果轻微损伤检测有效波长选取
为了确定可用于苹果早期轻微损伤检测的有效波长,以具有代表性的阿克苏苹果为研究对象,采用高光谱成像技术和分段主成分分析方法对损伤发生仅为半小时之内的苹果进行损伤检测研究,对比分析不同光谱区域主成分分析对识别结果的影响,优选出识别光谱区域(780~1000 nm).基于此光谱区域结合主成分图像权重系数获取2个有效波长(820和970 nm),并利用这2个波长和全局阈值理论开发了多光谱轻微损伤提取算法.利用独立测试集中25个正常苹果和25个损伤苹果对算法的性能进行评估,结果表明,正常果的识别率为100%,损伤果的识别率为96%,整体检测精度为98%.该研究所获得的有效波长可为开发基于多光谱成像技术的...
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Published in | 农业工程学报 Vol. 29; no. 1; pp. 272 - 277 |
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Main Author | |
Format | Journal Article |
Language | Chinese |
Published |
北京农业智能装备技术研究中心,北京 100097%国家农业智能装备工程技术研究中心,北京 100097
2013
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Subjects | |
Online Access | Get full text |
ISSN | 1002-6819 |
DOI | 10.3969/j.issn.1002-6819.2013.01.036 |
Cover
Summary: | 为了确定可用于苹果早期轻微损伤检测的有效波长,以具有代表性的阿克苏苹果为研究对象,采用高光谱成像技术和分段主成分分析方法对损伤发生仅为半小时之内的苹果进行损伤检测研究,对比分析不同光谱区域主成分分析对识别结果的影响,优选出识别光谱区域(780~1000 nm).基于此光谱区域结合主成分图像权重系数获取2个有效波长(820和970 nm),并利用这2个波长和全局阈值理论开发了多光谱轻微损伤提取算法.利用独立测试集中25个正常苹果和25个损伤苹果对算法的性能进行评估,结果表明,正常果的识别率为100%,损伤果的识别率为96%,整体检测精度为98%.该研究所获得的有效波长可为开发基于多光谱成像技术的苹果损伤检测系统提供参考. |
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Bibliography: | 11-2047/S defects, image processing, principal component analysis, hyperspectral imaging, effective wavelength,apple Huang Wenqian, Chen Liping, Li Jiangbo, Zhang Chi (1. Beijing Research Center of lntelligent Equipment for Agriculture, Beijing 100097, China; 2. National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China) Bruise is one of the main defects of apple, which could be caused by impact or mechanical damage during harvest and handling stages. Early detection of slight bruises on apples is important for an automatic apple sorting system. A hyperspectral imaging system with the wavelength range of 450-1 000 nm was built for detecting bruises happened in half an hour on 'Akesu'apples. The hyperspectral imaging system was used as a powerful tool to determine the effective wavelengths that could be used for the detection of bruises on apples. Principal component analysis (PCA) is a very effective method for data dimension reduction and feature extraction of the hyperspectral dat |
ISSN: | 1002-6819 |
DOI: | 10.3969/j.issn.1002-6819.2013.01.036 |