Kim et al., 2007 - Google Patents
Hyperspectral reflectance and fluorescence line-scan imaging for online defect and fecal contamination inspection of applesKim 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 …
- 235000021016 apples 0 title abstract description 83
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
- G01N21/359—Investigating 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/314—Investigating 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
- G01N2021/3155—Measuring in two spectral ranges, e.g. UV and visible
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N21/6428—Measuring fluorescence of fluorescent products of reactions or of fluorochrome labelled reactive substances, e.g. measuring quenching effects, using measuring "optrodes"
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/84—Systems specially adapted for particular applications
- G01N2021/845—Objects on a conveyor
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/02—Investigating or analysing materials by specific methods not covered by the preceding groups food
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colour
- G01J3/28—Investigating 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 |