Quantification and Threshold Detection in Real-time Hyperspectral Imaging

机译：实时高光谱成像中的量化和阈值检测

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

The technical challenges of applying hyperspectral imaging techniques to on-line real-time food monitoring is discussed. System optimization must be applied to the design of the hyperspectral imaging spectrograph, the choice and operation of the imaging detector, the design of the illumination system and finally the development of software algorithms to correctly quantify the hyperspectral images. The signal to noise limitation of hyperspectral detection is discussed with particular emphasis on the detection of moving objects at high measurement bandwidths. An example is given of the development of a simple but accurate algorithm for the detection and discrimination of rust particles on leaves.

机译：讨论了将高光谱成像技术应用于食品实时在线监测的技术挑战。必须将系统优化应用于高光谱成像光谱仪的设计，成像检测器的选择和操作，照明系统的设计，最后是正确量化高光谱图像的软件算法的开发。讨论了高光谱检测的信噪限制，特别强调了在高测量带宽下检测运动物体。给出了开发一种简单而精确的算法来检测和识别叶片上锈斑的算法的例子。

著录项

来源
《Sensing for agriculture and food quality and safety》|2009年|73150L.1-73150L.12|共12页
会议地点 Orlando FL(US)
作者
Richard D. Driver;
展开▼
作者单位

Headwall Photonics, 601 River Street, Fitchburg, MA, USA 01420;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
hyperspectral; spectroscopy; VNIR; NIR; imaging; food quality;

机译：高光谱光谱学VNIR；近红外;成像食物品质;

相似文献

外文文献
中文文献
专利

1. A real-time CFAR thresholding method for target detection in hyperspectral images [J] . Zhao Huijie, Lou Chen, Li Na Multimedia Tools and Applications . 2017,第13期

机译：用于高光谱图像目标检测的实时CFAR阈值化方法
2. Automatic threshold method and optimal wavelength selection for insect-damaged vegetable soybean detection using hyperspectral images [J] . Ma YA, Huang M, Yang B, Computers and Electronics in Agriculture . 2014,第Null期

机译：利用高光谱图像自动阈值方法和最佳波长选择，用于虫害菜豆的检测
3. Progressive line processing of global and local real-time anomaly detection in hyperspectral images [J] . Zhao Chunhui, Yao Xifeng Journal of Real-Time Image Processing . 2019,第6期

机译：高光谱图像中全局和局部实时异常检测的渐进线处理
4. Algorithms For Chemical Detection, Identification And Quantification For Thermal Hyperspectral Imagers [C] . Alexre Vallieres, re Villemaire, Martin Chamberl, Chemical and Biological Standoff Detection III . 2005

机译：热高光谱成像仪化学检测，鉴定和定量的算法
5. Constrained least squares spectral unmixing for subpixel target detection, classification and quantification in hyperspectral and multispectral imagery. [D] . Heinz, Daniel Charles. 2001

机译：约束最小二乘光谱分解，用于高光谱和多光谱图像中子像素目标的检测，分类和量化。
6. Framework for hyperspectral image processing and quantification for cancer detection during animal tumor surgery [O] . Guolan Lu, Dongsheng Wang, Xulei Qin, 2015

机译：用于动物肿瘤手术中癌症检测的高光谱图像处理和量化框架
7. A Novel Threshold Detection Technique for the Automatic Construction of Attribute Profiles in Hyperspectral Images [O] . Arundhati Das, Kaushal Bhardwaj, Swarnajyoti Patra, 2020

机译：高光谱图像自动构建属性配置文件的新型阈值检测技术
8. Using QR Factorization for Real-Time Anomaly Detection in Hyperspectral Images. [R] . Bush, K. R. 2012

机译：利用QR分解进行高光谱图像的实时异常检测。

Quantification and Threshold Detection in Real-time Hyperspectral Imaging

摘要

著录项

相似文献

相关主题

期刊订阅