JPWO2021205573A1 - - Google Patents

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Publication number
JPWO2021205573A1
JPWO2021205573A1 JP2020549084A JP2020549084A JPWO2021205573A1 JP WO2021205573 A1 JPWO2021205573 A1 JP WO2021205573A1 JP 2020549084 A JP2020549084 A JP 2020549084A JP 2020549084 A JP2020549084 A JP 2020549084A JP WO2021205573 A1 JPWO2021205573 A1 JP WO2021205573A1
Authority
JP
Japan
Legal status (The legal status 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 status listed.)
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Application number
JP2020549084A
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JP6818961B1 (ja
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Publication of JP6818961B1 publication Critical patent/JP6818961B1/ja
Publication of JPWO2021205573A1 publication Critical patent/JPWO2021205573A1/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0499—Feedforward networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • 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
    • G06T7/0008—Industrial image inspection checking presence/absence
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
    • 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
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • 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
    • G06T2207/20021—Dividing image into blocks, subimages or windows
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Computational Linguistics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Data Mining & Analysis (AREA)
  • Molecular Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Quality & Reliability (AREA)
  • Image Analysis (AREA)
JP2020549084A 2020-04-08 2020-04-08 学習装置、学習方法、および推論装置 Active JP6818961B1 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2020/015841 WO2021205573A1 (ja) 2020-04-08 2020-04-08 学習装置、学習方法、および推論装置

Publications (2)

Publication Number Publication Date
JP6818961B1 JP6818961B1 (ja) 2021-01-27
JPWO2021205573A1 true JPWO2021205573A1 (ja) 2021-10-14

Family

ID=74200189

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2020549084A Active JP6818961B1 (ja) 2020-04-08 2020-04-08 学習装置、学習方法、および推論装置

Country Status (5)

Country Link
US (1) US20230118767A1 (ja)
JP (1) JP6818961B1 (ja)
CN (1) CN115443474A (ja)
DE (1) DE112020007035T5 (ja)
WO (1) WO2021205573A1 (ja)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2022123235A (ja) * 2021-02-12 2022-08-24 オムロン株式会社 画像検査装置、画像検査方法及び学習済みモデル生成装置
JP2022123218A (ja) * 2021-02-12 2022-08-24 オムロン株式会社 画像検査装置、画像検査方法、及び学習済みモデル生成装置
JP2022135080A (ja) * 2021-03-04 2022-09-15 キヤノン株式会社 画像処理装置および画像処理方法
WO2022185494A1 (ja) * 2021-03-04 2022-09-09 富士通株式会社 異常検出プログラム、異常検出方法、および情報処理装置
WO2023170908A1 (ja) * 2022-03-11 2023-09-14 ギガフォトン株式会社 訓練モデルの作成方法、レーザ装置及び電子デバイスの製造方法
CN117934481B (zh) * 2024-03-25 2024-06-11 国网浙江省电力有限公司宁波供电公司 基于人工智能的输电线缆状态识别处理方法及系统

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010211484A (ja) * 2009-03-10 2010-09-24 Nippon Telegr & Teleph Corp <Ntt> 存在確率による位置重みを考慮した類似画像検索装置、存在確率による位置重みを考慮した類似画像検索方法、存在確率による位置重みを考慮した類似画像検索プログラム
JP2014063360A (ja) * 2012-09-21 2014-04-10 Sony Corp 信号処理装置および信号処理方法、出力装置および出力方法、並びにプログラム
JP2018195119A (ja) 2017-05-18 2018-12-06 住友電装株式会社 異変検出装置及び異変検出方法
WO2020240808A1 (ja) * 2019-05-31 2020-12-03 楽天株式会社 学習装置、分類装置、学習方法、分類方法、学習プログラム、及び分類プログラム

Also Published As

Publication number Publication date
DE112020007035T5 (de) 2023-01-19
JP6818961B1 (ja) 2021-01-27
US20230118767A1 (en) 2023-04-20
WO2021205573A1 (ja) 2021-10-14
CN115443474A (zh) 2022-12-06

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