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

Li et al., 2021 - Google Patents

Apple quality identification and classification by image processing based on convolutional neural networks

Li et al., 2021

View HTML
Document ID
9964767608016330355
Author
Li Y
Feng X
Liu Y
Han X
Publication year
Publication venue
Scientific Reports

External Links

Snippet

This work researched apple quality identification and classification from real images containing complicated disturbance information (background was similar to the surface of the apples). This paper proposed a novel model based on convolutional neural networks …
Continue reading at www.nature.com (HTML) (other versions)

Classifications

    • 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
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • 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
    • G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • 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
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/007—Dynamic range modification
    • G06T5/008—Local, e.g. shadow enhancement
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Li et al. Apple quality identification and classification by image processing based on convolutional neural networks
Zhu et al. Hyperspectral imaging for presymptomatic detection of tobacco disease with successive projections algorithm and machine-learning classifiers
Xu et al. Using Deep Convolutional Neural Networks for Image‐Based Diagnosis of Nutrient Deficiencies in Rice
Yang et al. Spectral and image integrated analysis of hyperspectral data for waxy corn seed variety classification
Zhang et al. Classification of frozen corn seeds using hyperspectral VIS/NIR reflectance imaging
Wu et al. Identification and quantification of counterfeit sesame oil by 3D fluorescence spectroscopy and convolutional neural network
Zhao et al. Automated tea quality classification by hyperspectral imaging
Men et al. A residual network with attention module for hyperspectral information of recognition to trace the origin of rice
Liu et al. Rapid identification of chrysanthemum teas by computer vision and deep learning
Pang et al. Detection of early bruises on apples using hyperspectral imaging combining with YOLOv3 deep learning algorithm
Qi et al. SAM-GAN: An improved DCGAN for rice seed viability determination using near-infrared hyperspectral imaging
Xu et al. Non-destructive prediction of total soluble solids and titratable acidity in Kyoho grape using hyperspectral imaging and deep learning algorithm
Pham et al. Hyperspectral imaging system with rotation platform for investigation of jujube skin defects
Tao et al. Simultaneous species and sex identification of silkworm pupae using hyperspectral imaging technology
Mu et al. Non‐destructive detection of blueberry skin pigments and intrinsic fruit qualities based on deep learning
Geng et al. The fishmeal adulteration identification based on microscopic image and deep learning
Xu et al. Non-destructive detection of kiwifruit soluble solid content based on hyperspectral and fluorescence spectral imaging
Zhang et al. Appearance quality classification method of Huangguan pear under complex background based on instance segmentation and semantic segmentation
Jiang et al. Variety identification of Chinese Walnuts using hyperspectral imaging combined with chemometrics
Fan et al. Non-destructive detection of single-seed viability in maize using hyperspectral imaging technology and multi-scale 3D convolutional neural network
Zhang et al. A transfer learning method for spectral model of moldy apples from different origins
Hu et al. Automatic detection of small sample apple surface defects using ASDINet
Alighaleh et al. Detection and classification of saffron adulterants by Vis-Nir imaging, chemical analysis, and soft computing
Yu et al. Nondestructive testing of external defects on Nanguo pear
Li et al. Hyperspectral dimension reduction and navel orange surface disease defect classification using independent component analysis-genetic algorithm