...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of food engineering >Hyperspectral near-infrared imaging for the detection of physical damages of pear
【24h】

Hyperspectral near-infrared imaging for the detection of physical damages of pear

机译：高光谱近红外成像技术可检测梨的物理损伤

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Bruise damage on pears is one of the most crucial internal quality factors, which needs to be detected in postharvest quality sorting processes. Near-infrared imaging techniques (NIR) have effective potentials for identifying and detecting bruises since bruises result in the rupture of internal cell walls due to defects on agricultural materials. In this study, a novel NIR technique, hyperspectral imaging with beyond NIR range of 950-1650 nm, was investigated for detecting bruise damages underneath the pear skin, which has never been examined in the past. A classification algorithm based on F-value was applied for analysis of image to find the optimal waveband ratio for the discrimination of bruises against sound surface. The result demonstrated that the best threshold waveband ratio detected bruises with the accuracy of 92%, illustrating that the hyperspectral infra-red imaging technique with the region beyond NIR could be a potential detection method for pear bruises.
机译：梨挫伤是最关键的内部质量因素之一，需要在收获后质量分选过程中进行检测。近红外成像技术（NIR）具有识别和检测瘀伤的有效潜力，因为瘀伤会由于农业材料上的缺陷而导致内部细胞壁破裂。在这项研究中，研究了一种新的近红外技术，其高光谱成像具有超过9500-1650 nm的近红外范围，用于检测梨皮下的瘀伤损伤，而过去从未进行过检查。应用基于F值的分类算法对图像进行分析，以找到最佳的谱带比，以区分声表面损伤。结果表明，最佳阈值波段比检测挫伤的准确率达到92％，说明具有近红外光谱区域的高光谱红外成像技术可能是梨挫伤的一种潜在检测方法。

著录项

  • 来源
    《Journal of food engineering》 |2014年第6期|1-7|共7页
  • 作者

    Wang-Hee Lee; Moon S. Kim; Hoonsoo Lee; Stephen R.Delwiche; Hanhong Bae; Dae-Yong Kim; Byoung-Kwan Cho;

  • 作者单位

    Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 305-764, South Korea;

    Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705, USA;

    Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 305-764, South Korea;

    Food Quality Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705, USA;

    School of Biotechnology, Yeungnam University, Gyeongsan 712-749, South Korea;

    Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 305-764, South Korea;

    Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 305-764, South Korea 99 Deahak-ro(St.), Yuseong-gu, Daejeon 305-764, South Korea;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Hyperspectral imaging; F-value classification algorithm; Image processing; Near infrared spectrum; Pear bruise;

    机译：高光谱成像;F值分类算法;图像处理;近红外光谱;梨瘀伤;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号