Imaging Spectrometry XXII: Applications, Sensors, and Processing最新文献

Efficient detection algorithm of chemical warfare agents for FTIR-based hyperspectral imagery using SVM classifier 基于支持向量机分类器的ftir高光谱图像化学战剂高效检测算法

Imaging Spectrometry XXII: Applications, Sensors, and Processing Pub Date : 2018-11-16 DOI: 10.1117/12.2322027

Hyeong-Geun Yu, Jae-Hoon Lee, Dong-Jo Park, Hyeon-Woo Nam, Byeonghwang Park

引用次数: 1

Front Matter: Volume 10768 前题:10768卷

Imaging Spectrometry XXII: Applications, Sensors, and Processing Pub Date : 2018-11-05 DOI: 10.1117/12.2516446

引用次数: 0

HyTES high altitude deployment: saturation temperature and plume retrievals (Conference Presentation) HyTES高空部署:饱和温度和羽流检索(会议报告)

Imaging Spectrometry XXII: Applications, Sensors, and Processing Pub Date : 2018-09-18 DOI: 10.1117/12.2322090

W. Johnson

引用次数: 0

Towards non-invasive screening of meat freshness utilizing visible and near-infrared spectroscopy (Conference Presentation) 利用可见和近红外光谱对肉类新鲜度进行无创筛选(会议报告)

Imaging Spectrometry XXII: Applications, Sensors, and Processing Pub Date : 2018-09-18 DOI: 10.1117/12.2320934

M. Peyvasteh, A. Popov, A. Bykov, I. Meglinski

{"title":"Towards non-invasive screening of meat freshness utilizing visible and near-infrared spectroscopy (Conference Presentation)","authors":"M. Peyvasteh, A. Popov, A. Bykov, I. Meglinski","doi":"10.1117/12.2320934","DOIUrl":"https://doi.org/10.1117/12.2320934","url":null,"abstract":"There is a high demand to apply photonics-based techniques to day-to-day routine use by targeting food quality control, food safeties, biosecurity and other related applications. We present the results of study of freshness and spoilage of meat samples by using visible and near-infrared spectroscopy. Two different configurations of experiment capable of sensing diverse range of probing depths have been tested. A table-top spectrophotometer equipped with an integrating sphere was used in one setup providing a large light spot and two detectors to measure two different spectral ranges (400-1100 nm and 1100-1700 nm). Another experimental setup comprised a fiber-optic linear array coupled to a portable spectrophotometer (measurement range: 400-1100 nm) to increase the average probing depth. The freshness of meat samples was assessed as a decrease of oxymyoglobin content monitored by decreasing 580/560 nm absorbance ratio, while spoilage was revealed by changes of absorbance at 1200 nm (fat content), 1450 nm (water), 1525 nm and 1600 nm (proteins) over time. We found that the studied meat samples experienced a significant loss of freshness after 2.5 hours. This could be interpreted as a beginning of the spoilage process showing promise of the applied methodology for spoilage sensing and benefits of the portable approach. The current technique is capable to real-time non-destructive screening of meat samples in a wide range wavelengths. The results and data analysis are presented and discussed in frame of food safety application.","PeriodicalId":268067,"journal":{"name":"Imaging Spectrometry XXII: Applications, Sensors, and Processing","volume":"439 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127340341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hyperspectral imaging aided by artificial neural networks for functional skin characterization (Conference Presentation) 人工神经网络辅助的高光谱成像用于功能性皮肤表征(会议报告)

Imaging Spectrometry XXII: Applications, Sensors, and Processing Pub Date : 2018-09-18 DOI: 10.1117/12.2321148

A. Bykov, E. Zherebtsov, M. Kirillin, D. Loginova, A. Popov, A. Doronin, I. Meglinski

{"title":"Hyperspectral imaging aided by artificial neural networks for functional skin characterization\u0000 (Conference Presentation)","authors":"A. Bykov, E. Zherebtsov, M. Kirillin, D. Loginova, A. Popov, A. Doronin, I. Meglinski","doi":"10.1117/12.2321148","DOIUrl":"https://doi.org/10.1117/12.2321148","url":null,"abstract":"We introduce a portable hand-held hyperspectral imaging system for the functional diagnostics of skin and vascular system. Hyperspectral image analysis aided by artificial neural networks (ANN) allows to reconstruct major physiological parameters of human skin nearly in real-time. The developed device provides spatial distribution of blood volume fraction, oxygenation and melanin content within skin. Special attention has been paid on the system validation and calibration using specially developed skin mimicking phantoms with confirmed optical properties.\u0000\u0000The device was built on the basis of unique hyperspectral snapshot camera utilizing a micro Fabry-Perot filter providing real spectral response in each pixel (no interpolation is used in image formation). A broadband illumination unit combined with the camera is based on the fiber-optic illuminator providing uniform distribution of light intensity and utilizes halogen lamp.\u0000\u0000The specially developed ANN algorithm was used to perform the inverse problem solution for quantitative assessment of major parameters of skin based on the measured hyperspectral images. A set of diffuse reflectance spectra of human skin imitated by the Monte Carlo method developed in-house has been used extensively for the training of ANN. The volume fraction of blood, oxygen saturation, melanin content and thickness of the epidermal layer were used variable parameters in the utilized seven-layer Monte Carlo-based skin model. The total training set contained 45,198 spectra in the range of 505–800 nm simulated with a step of 5 nm. The developed imaging system has been successfully used to perform the occlusion test measurements with healthy volunteers.","PeriodicalId":268067,"journal":{"name":"Imaging Spectrometry XXII: Applications, Sensors, and Processing","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124651810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0