首页> 外文期刊>Sensing and Instrumentation for Food Quality and Safety >Multispectral line-scan imaging system for simultaneous fluorescence and reflectance measurements of apples: multitask apple inspection system
【24h】

Multispectral line-scan imaging system for simultaneous fluorescence and reflectance measurements of apples: multitask apple inspection system

机译:多光谱线扫描成像系统,用于同时测量苹果的荧光和反射率:多任务苹果检测系统

获取原文
获取原文并翻译 | 示例
           

摘要

In this methodology paper, a recently developed line-scan imaging system, capable of simultaneously acquiring a combination of multispectral reflectance and fluorescence from rapidly moving objects, is presented. The system can potentially provide multitask inspections for quality and safety attributes of apples due to its dynamic selectivity in multispectral bands, each with independent spectral bandwidth in the fluorescence and reflectance domains. Mounted on a commercial apple-sorting machine, thesystem was evaluated to determine the image pixel (spatial) resolution for apples at a sorting line speed of three to four apples per second. Apples loaded on the sorting machine were spaced approximately 15 cm apart. With these parameters, the resulting images showed approximately 40 line-scan images per apple, for a horizontal spatial resolution of 2 mm per pixel. In the vertical direction, with 1,002 pixels available for each line-scan image, the spatial resolution of the system can be as high as approximately 0.2 mm per pixel depending on the choice of binning. The combined spatial resolution is comparable to that in our previous studies and is adequate for image-based online inspection of defects and fecal contamination on apples.
机译:在该方法论论文中,提出了一种最新开发的线扫描成像系统,该系统能够同时从快速移动的物体中获取多光谱反射率和荧光的组合。由于其在多光谱带中的动态选择性,该系统可以潜在地为苹果的质量和安全属性提供多任务检查,每个带在荧光和反射率域中具有独立的光谱带宽。安装在商用苹果分选机上,对该系统进行了评估,以确定每秒3至4个苹果的分选线速度下苹果的图像像素(空间)分辨率。装在分拣机上的苹果大约间隔15厘米。使用这些参数,结果图像显示每个苹果大约40个线扫描图像,每个像素2 mm的水平空间分辨率。在垂直方向上,每个线扫描图像都有1,002个像素,根据合并的选择,系统的空间分辨率可以达到每个像素约0.2 mm。组合的空间分辨率与我们先前的研究相当,并且足够用于基于图像的苹果缺陷和粪便污染的在线检查。

著录项

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