BR112016028473A8 - método de criação de critérios de discriminação de grau de qualidade num dispositivo de discriminação de grau de qualidade aparente de material granular - Google Patents

método de criação de critérios de discriminação de grau de qualidade num dispositivo de discriminação de grau de qualidade aparente de material granular

Info

Publication number
BR112016028473A8
BR112016028473A8 BR112016028473A BR112016028473A BR112016028473A8 BR 112016028473 A8 BR112016028473 A8 BR 112016028473A8 BR 112016028473 A BR112016028473 A BR 112016028473A BR 112016028473 A BR112016028473 A BR 112016028473A BR 112016028473 A8 BR112016028473 A8 BR 112016028473A8
Authority
BR
Brazil
Prior art keywords
grade
quality grade
quality
granular material
image capture
Prior art date
Application number
BR112016028473A
Other languages
English (en)
Other versions
BR112016028473B1 (pt
BR112016028473A2 (pt
Inventor
Ishizu Hideaki
Takeuchi Hiroaki
Ishizuki Hiroki
Ochi Tatsuhiko
Morio Yoshinari
Original Assignee
Satake Eng Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Satake Eng Co Ltd filed Critical Satake Eng Co Ltd
Publication of BR112016028473A2 publication Critical patent/BR112016028473A2/pt
Publication of BR112016028473A8 publication Critical patent/BR112016028473A8/pt
Publication of BR112016028473B1 publication Critical patent/BR112016028473B1/pt

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/28—Measuring arrangements characterised by the use of optical techniques for measuring areas
    • 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 sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/85—Investigating moving fluids or granular solids
    • 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 sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06V10/7747—Organisation of the process, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/98—Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
    • G06V10/993—Evaluation of the quality of the acquired pattern
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
    • G06V20/698—Matching; Classification
    • 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 sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/85—Investigating moving fluids or granular solids
    • G01N2021/8592—Grain or other flowing solid samples
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00—Features of devices classified in G01N21/00
    • G01N2201/12—Circuits of general importance; Signal processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06T2207/30108—Industrial image inspection
    • G06T2207/30128—Food products

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Quality & Reliability (AREA)
  • Multimedia (AREA)
  • Pathology (AREA)
  • Immunology (AREA)
  • Biochemistry (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Geometry (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Sorting Of Articles (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Image Analysis (AREA)
  • Analysing Materials By The Use Of Radiation (AREA)

Abstract

método de criação de critérios de discriminação de grau de qualidade num dispositivo de discriminação de grau de qualidade aparente de material granular um método para criar critérios de discriminação de grau de qualidade num dispositivo de discriminação que determina graus de grau de qualidade de aparência de materiais granulares de acordo com a presente invenção inclui uma etapa de colocação de material granular para ordenar os materiais granulares numa base de grau de qualidade por grau de qualidade e colocar os materiais granulares numa superfície de captura de imagem da unidade de captura de imagem, uma etapa de aquisição de dados de imagem de captura de imagens dos materiais granulares colocados na superfície de captura de imagem pela unidade de captura de imagem e obtenção dos dados de imagem, uma etapa de aquisição de informação de classificação de grau de qualidade para obter, numa base de grau de qualidade, peças de informação de grau de qualidade nos respectivos materiais granulares com base nos dados de imagem; e uma etapa de criação de critérios de discriminação de grau de qualidade da criação de critérios de discriminação de grau de qualidade utilizando a informação de grau de qualidade obtida numa base de grau por qualidade.
BR112016028473-9A 2014-06-05 2015-06-02 Método de criação de critérios de discriminação de grau de qualidade num dispositivo de discriminação de grau de qualidade aparente de material granular BR112016028473B1 (pt)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
JP2014-117106 2014-06-05
JP2014117106A JP6481263B2 (ja) 2014-06-05 2014-06-05 粒状物外観品位判別装置における品位判別基準の作成方法
PCT/JP2015/065922 WO2015186708A1 (ja) 2014-06-05 2015-06-02 粒状物外観品位判別装置における品位判別基準の作成方法

Publications (3)

Publication Number Publication Date
BR112016028473A2 BR112016028473A2 (pt) 2017-08-22
BR112016028473A8 true BR112016028473A8 (pt) 2020-10-20
BR112016028473B1 BR112016028473B1 (pt) 2021-08-17

Family

ID=54766777

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112016028473-9A BR112016028473B1 (pt) 2014-06-05 2015-06-02 Método de criação de critérios de discriminação de grau de qualidade num dispositivo de discriminação de grau de qualidade aparente de material granular

Country Status (7)

Country Link
US (1) US10386307B2 (pt)
JP (1) JP6481263B2 (pt)
KR (1) KR102382399B1 (pt)
CN (1) CN106662534A (pt)
BR (1) BR112016028473B1 (pt)
TW (1) TWI681182B (pt)
WO (1) WO2015186708A1 (pt)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6560707B2 (ja) * 2017-04-20 2019-08-14 ファナック株式会社 加工面品位評価装置
CN107862230B (zh) * 2017-11-14 2020-12-22 安徽虚境科技有限公司 一种等级决定及录入方法
JP7023180B2 (ja) * 2018-05-10 2022-02-21 大阪瓦斯株式会社 酒米分析装置
CN109539996B (zh) * 2018-12-12 2021-06-04 安徽省农业科学院水稻研究所 一种水稻柱头长度的测量方法
CN110044269A (zh) * 2019-04-08 2019-07-23 安徽省农业科学院水稻研究所 一种水稻柱头长度测量最佳取样时期的方法
JP7345776B2 (ja) * 2019-06-11 2023-09-19 近江度量衡株式会社 農産物の選別装置
WO2022080504A1 (ja) * 2020-10-16 2022-04-21 国立研究開発法人農業・食品産業技術総合研究機構 判定装置、学習装置、判定方法、学習方法及び制御プログラム

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
IL82037A0 (en) * 1987-03-29 1987-10-20 Kalman Peleg Method and apparatus for automatically inspecting and classifying different objects
JP2000146847A (ja) * 1998-11-16 2000-05-26 Kett Electric Laboratory クラスタリング及びボロノイ分割を利用したニューラル ネットワークを用いた穀類粒判別装置
JP2002312762A (ja) * 2001-04-12 2002-10-25 Seirei Ind Co Ltd ニューラルネットワークを利用した穀粒選別装置
TWI220011B (en) * 2003-02-10 2004-08-01 Sheng Shiuan Corp Mold for producing upper stop of nylon safety zipper
JP2010060389A (ja) 2008-09-02 2010-03-18 Horiba Ltd 粒子解析装置、データ解析装置、ｘ線分析装置、粒子解析方法及びコンピュータプログラム
US8526075B2 (en) 2008-10-09 2013-09-03 Satake Corporation Tray for image reading device
JP5533245B2 (ja) * 2010-05-19 2014-06-25 株式会社サタケ 穀粒外観品位判別装置における品位別重量比率の算出方法
JP5565869B2 (ja) 2011-08-01 2014-08-06 株式会社ユニバーサルエンターテインメント 識別装置及び識別プログラム
JP6152845B2 (ja) * 2012-03-27 2017-06-28 株式会社サタケ 光学式粒状物選別機
JP6024949B2 (ja) 2012-06-27 2016-11-16 株式会社サタケ 穀粒外観測定装置
US9014434B2 (en) * 2012-11-26 2015-04-21 Frito-Lay North America, Inc. Method for scoring and controlling quality of food products in a dynamic production line

Also Published As

Publication number Publication date
KR20170015338A (ko) 2017-02-08
US20170199132A1 (en) 2017-07-13
US10386307B2 (en) 2019-08-20
WO2015186708A1 (ja) 2015-12-10
JP6481263B2 (ja) 2019-03-13
KR102382399B1 (ko) 2022-04-01
BR112016028473B1 (pt) 2021-08-17
BR112016028473A2 (pt) 2017-08-22
TWI681182B (zh) 2020-01-01
CN106662534A (zh) 2017-05-10
TW201546440A (zh) 2015-12-16
JP2015230265A (ja) 2015-12-21

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Legal Events

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B06U Preliminary requirement: requests with searches performed by other patent offices: procedure suspended [chapter 6.21 patent gazette]
B06A Patent application procedure suspended [chapter 6.1 patent gazette]
B09A Decision: intention to grant [chapter 9.1 patent gazette]
B16A Patent or certificate of addition of invention granted [chapter 16.1 patent gazette]

Free format text: PRAZO DE VALIDADE: 20 (VINTE) ANOS CONTADOS A PARTIR DE 02/06/2015, OBSERVADAS AS CONDICOES LEGAIS.