Nothing Special   »   [go: up one dir, main page]

Lin et al., 2011 - Google Patents

Discrimination of Radix Pseudostellariae according to geographical origins using NIR spectroscopy and support vector data description

Lin et al., 2011

Document ID
5388756081561400883
Author
Lin H
Zhao J
Chen Q
Zhou F
Sun L
Publication year
Publication venue
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

External Links

Snippet

Near infrared (NIR) spectroscopy combined with support vector data description (SVDD) was attempted to identify geographical origins of Radix Pseudostellariae. Original spectra of eggs in wavelength range of 10000–4000cm− 1 were acquired. SVDD was performed to …
Continue reading at www.sciencedirect.com (other versions)

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
    • G01N21/314—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
    • G01N21/17—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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology

Similar Documents

Publication Publication Date Title
Lin et al. Discrimination of Radix Pseudostellariae according to geographical origins using NIR spectroscopy and support vector data description
Giraudo et al. Determination of the geographical origin of green coffee beans using NIR spectroscopy and multivariate data analysis
Calvini et al. Toward the development of combined artificial sensing systems for food quality evaluation: A review on the application of data fusion of electronic noses, electronic tongues and electronic eyes
Wei et al. Visual detection of the moisture content of tea leaves with hyperspectral imaging technology
Pelletier et al. Effect of training class label noise on classification performances for land cover mapping with satellite image time series
Yang et al. Spectral and image integrated analysis of hyperspectral data for waxy corn seed variety classification
Karimi et al. Detection and quantification of food colorant adulteration in saffron sample using chemometric analysis of FT-IR spectra
Lu et al. Classification of Camellia (Theaceae) species using leaf architecture variations and pattern recognition techniques
Li et al. Evaluation of black tea by using smartphone imaging coupled with micro-near-infrared spectrometer
Ye et al. Detection of pesticide residue level in grape using hyperspectral imaging with machine learning
Li et al. Identification of geographical origin of Chinese chestnuts using hyperspectral imaging with 1D-CNN algorithm
Zhao et al. Automated tea quality classification by hyperspectral imaging
Zhang et al. Mid‐Infrared Spectroscopy for Coffee Variety Identification: Comparison of Pattern Recognition Methods
Arndt et al. Determination of the geographical origin of walnuts (Juglans regia L.) using near-infrared spectroscopy and chemometrics
Zhang et al. Feasibility of the detection of carrageenan adulteration in chicken meat using visible/near-infrared (vis/nir) hyperspectral imaging
Edwards et al. Non-destructive spectroscopic and imaging techniques for the detection of processed meat fraud
Galvin-King et al. The detection of substitution adulteration of paprika with spent paprika by the application of molecular spectroscopy tools
He et al. Determination and visualization of peimine and peiminine content in Fritillaria thunbergii bulbi treated by sulfur fumigation using hyperspectral imaging with chemometrics
Suhandy et al. Classification of Lampung robusta specialty coffee according to differences in cherry processing methods using UV spectroscopy and chemometrics
Ren et al. Evaluation of Dianhong black tea quality using near‐infrared hyperspectral imaging technology
Ren et al. Hyperspectral imaging for discrimination of Keemun black tea quality categories: Multivariate calibration analysis and data fusion
Chen et al. Combination of the manifold dimensionality reduction methods with least squares support vector machines for classifying the species of sorghum seeds
Chen et al. Application of multispectral camera in monitoring the quality parameters of fresh tea leaves
Jiang et al. Variety identification of Chinese Walnuts using hyperspectral imaging combined with chemometrics
Chen et al. A rapid and effective method for species identification of edible boletes: FT-NIR spectroscopy combined with ResNet