摘要
水果成熟度作为衡量水果品质和等级的一个重要指标,区分不同成熟度的水果可以降低水果在采摘、包装、储存、运输等物流环节的损失率。高光谱技术是一种新型光谱技术和计算机视觉融合技术,它可以从图像维和光谱维对水果的综合品质进行评价。分析了国内外将该技术应用于水果成熟度检测方面的研究进展,提出了利用高光谱图像技术检测枣和梨成熟度的方法,利用不同成熟度的水果在可见光及近红外波段的反射率,初步确定了利用高光谱成像技术检测枣和梨2种水果成熟度的有效特征波长。
Fruit maturity as an important indicator to measure the quality and grade of fruits, distinction of fruit maturity between different fruits could reduce the loss rate in picking, storage, transport, and other logistics sectors. Hyperspectral technology was a novel spectroscopic techniques and computer vision fusion technology, which could evaluate fruit quality from the image dimensions and spectral dimension. This paper reviewed the application of the technology at home and abroad and proposed the application of the hyperspectral imaging technology to detect jujube and pear maturity. The most effective characteristic wavelengths of jujube and pear were determined based on fruits with different maturity degrees having different reflectances in the visible, and near infrared bands.
出处
《食品科学技术学报》
CAS
2015年第4期63-67,共5页
Journal of Food Science and Technology
基金
国家自然科学基金资助项目(61473009)
北京市自然科学基金资助项目(4132008)
北京市组织部优秀人才培养D类项目(2013D005003000008)
关键词
高光谱成像技术
水果成熟度
无损检测
hyperspectral imaging
fruit maturity
nondestructive detection
