[go: up one dir, main page]

Kim et al., 2007 - Google Patents

Hyperspectral reflectance and fluorescence line-scan imaging for online defect and fecal contamination inspection of apples

Kim et al., 2007

View PDF
Document ID
4355122922536983783
Author
Kim M
Chen Y
Cho B
Chao K
Yang C
Lefcourt A
Chan D
Publication year
Publication venue
Sensing and Instrumentation for Food Quality and Safety

External Links

Snippet

We have recently developed a rapid online line-scan imaging system capable of both hyperspectral Vis/NIR reflectance and fluorescence in the Vis with UV-A excitation. The hyperspectral online line-scan system was integrated with a commercial apple-sorting …
Continue reading at www.ars.usda.gov (PDF) (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
    • G01N21/359Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light using near infra-red light
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/314Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths
    • G01N2021/3155Measuring in two spectral ranges, e.g. UV and visible
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/64Fluorescence; Phosphorescence
    • G01N21/6428Measuring fluorescence of fluorescent products of reactions or of fluorochrome labelled reactive substances, e.g. measuring quenching effects, using measuring "optrodes"
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/89Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N2021/845Objects on a conveyor
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/02Investigating or analysing materials by specific methods not covered by the preceding groups food
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00Spectrometry; Spectrophotometry; Monochromators; Measuring colour
    • G01J3/28Investigating the spectrum

Similar Documents

Publication Publication Date Title
Kim et al. Hyperspectral reflectance and fluorescence line-scan imaging for online defect and fecal contamination inspection of apples
US7787111B2 (en) Simultaneous acquisition of fluorescence and reflectance imaging techniques with a single imaging device for multitask inspection
Kim et al. Multispectral detection of fecal contamination on apples based on hyperspectral imagery: Part II. Application of hyperspectral fluorescence imaging
Kim et al. Multispectral detection of fecal contamination on apples based on hyperspectral imagery: Part I. Application of visible and near–infrared reflectance imaging
Kim et al. Automated detection of fecal contamination of apples based on multispectral fluorescence image fusion
Mehl et al. Development of hyperspectral imaging technique for the detection of apple surface defects and contaminations
Patel et al. Non-destructive hyperspectral imaging technology to assess the quality and safety of food: A review
Gowen et al. Hyperspectral imaging–an emerging process analytical tool for food quality and safety control
Gowen et al. Recent applications of hyperspectral imaging in microbiology
Blasco et al. Machine vision-based measurement systems for fruit and vegetable quality control in postharvest
Kim et al. Multispectral laser-induced fluorescence imaging system for large biological samples
Qin et al. Citrus canker detection using hyperspectral reflectance imaging and PCA-based image classification method
US20190293620A1 (en) Apparatus and method for multimode analytical sensing of items such as food
Xiong et al. Applications of hyperspectral imaging in chicken meat safety and quality detection and evaluation: A review
Liu et al. Development of simple algorithms for the detection of fecal contaminants on apples from visible/near infrared hyperspectral reflectance imaging
Teena et al. Potential of machine vision techniques for detecting fecal and microbial contamination of food products: A review
Lunadei et al. Image-based screening for the identification of bright greenish yellow fluorescence on pistachio nuts and cashews
Lee et al. Correlation analysis of hyperspectral imagery for multispectral wavelength selection for detection of defects on apples
Liu et al. Application of near-infrared hyperspectral imaging for detection of external insect infestations on jujube fruit
Mo et al. On-line fresh-cut lettuce quality measurement system using hyperspectral imaging
Yang et al. Red to far-red multispectral fluorescence image fusion for detection of fecal contamination on apples
Mo et al. Fluorescence hyperspectral imaging technique for foreign substance detection on fresh‐cut lettuce
Cho et al. Hyperspectral determination of fluorescence wavebands for multispectral imaging detection of multiple animal fecal species contaminations on romaine lettuce
Kim et al. Multispectral line-scan imaging system for simultaneous fluorescence and reflectance measurements of apples: multitask apple inspection system
Kim et al. Visible to SWIR hyperspectral imaging for produce safety and quality evaluation