[go: up one dir, main page]

Majumdar et al., 2000 - Google Patents

Classification of cereal grains using machine vision: II. Color models

Majumdar et al., 2000

Document ID
2070102245958578477
Author
Majumdar S
Jayas D
Publication year
Publication venue
Transactions of the ASAE

External Links

Snippet

A digital image analysis (DIA) algorithm was developed based on color features to classify individual kernelsof Canada Western Red Spring (CWRS) wheat, Canada Western Amber Durum (CWAD) wheat, barley, oats, and rye. Eighteen color features (mean, variance, and …
Continue reading at elibrary.asabe.org (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
    • G06K9/62—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
    • G06K9/6228—Selecting the most significant subset of features
    • 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
    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
    • 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
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268—Feature extraction; Face representation
    • G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • 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
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • 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

Similar Documents

Publication Publication Date Title
Majumdar et al. Classification of cereal grains using machine vision: II. Color models
Majumdar et al. Classification of cereal grains using machine vision: I. Morphology models
Majumdar et al. Classification of cereal grains using machine vision: IV. Combined morphology, color, and texture models
Neuman et al. Wheat grain colour analysis by digital image processing II. Wheat class discrimination
Majumdar et al. Classification of cereal grains using machine vision: III. Texture models
Riquelme et al. Olive classification according to external damage using image analysis
Paliwal et al. Grain kernel identification using kernel signature
Zayas et al. Discrimination of wheat and nonwheat components in grain samples by image analysis
Laykin et al. Image–processing algorithms for tomato classification
Delwiche et al. Multiple view image analysis of freefalling US wheat grains for damage assessment
Wan et al. Rice quality classification using an automatic grain quality inspection system
US11003958B2 (en) Food quality image classification
US20030072484A1 (en) Method and apparatus for identifying and quantifying characteristics of seeds and other small objects
CN109253975A (en) Apple slight damage hyperspectral detection method based on MSC-CFS-ICA
Shahin et al. Lentil type identification using machine vision
OuYang et al. An automatic method for identifying different variety of rice seeds using machine vision technology
Lai et al. Application of pattern recognition techniques in the analysis of cereal grains
Rad et al. Classification of rice varieties using optimal color and texture features and BP neural networks
Rafiq et al. Application of computer vision system in food processing
Edan et al. Color and firmness classification of fresh market tomatoes
Park et al. Discriminant analysis of dual-wavelength spectral images for classifying poultry carcasses
Nadim et al. Application of image processing techniques for quality control of mushroom
Steenhoek et al. Implementing a computer vision system for corn kernel damage evaluation
Lyu et al. Synthetic hyperspectral reflectance data augmentation by generative adversarial network to enhance grape maturity determination
Park et al. Intensified multispectral imaging system for poultry carcass inspection