TW202147250A - 異常晶圓圖像分類 - Google Patents

異常晶圓圖像分類 Download PDF

Info

Publication number
TW202147250A
TW202147250A TW110114543A TW110114543A TW202147250A TW 202147250 A TW202147250 A TW 202147250A TW 110114543 A TW110114543 A TW 110114543A TW 110114543 A TW110114543 A TW 110114543A TW 202147250 A TW202147250 A TW 202147250A
Authority
TW
Taiwan
Prior art keywords
images
image
classifier
steps
features
Prior art date
Application number
TW110114543A
Other languages
English (en)
Chinese (zh)
Inventor
本田智土
理查 伯奇
祝青
傑弗瑞德魯 大衛
Original Assignee
美商Pdf對策公司
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 美商Pdf對策公司 filed Critical 美商Pdf對策公司
Publication of TW202147250A publication Critical patent/TW202147250A/zh

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2415Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/243Classification techniques relating to the number of classes
    • G06F18/2431Multiple classes
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • G06N20/20Ensemble learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0464Convolutional networks [CNN, ConvNet]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/09Supervised learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/04Inference or reasoning models
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/44Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • G06N20/10Machine learning using kernel methods, e.g. support vector machines [SVM]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20076Probabilistic image processing
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • G06T2207/30148Semiconductor; IC; Wafer

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mathematical Physics (AREA)
  • Medical Informatics (AREA)
  • Multimedia (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Computational Linguistics (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Biophysics (AREA)
  • Quality & Reliability (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Probability & Statistics with Applications (AREA)
  • Image Analysis (AREA)
  • Testing Or Measuring Of Semiconductors Or The Like (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
TW110114543A 2020-04-22 2021-04-22 異常晶圓圖像分類 TW202147250A (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202063013737P 2020-04-22 2020-04-22
US63/013,737 2020-04-22

Publications (1)

Publication Number Publication Date
TW202147250A true TW202147250A (zh) 2021-12-16

Family

ID=78222360

Family Applications (1)

Application Number Title Priority Date Filing Date
TW110114543A TW202147250A (zh) 2020-04-22 2021-04-22 異常晶圓圖像分類

Country Status (6)

Country Link
US (1) US11972552B2 (https=)
JP (1) JP2023523426A (https=)
KR (1) KR20230006822A (https=)
CN (1) CN115485740A (https=)
TW (1) TW202147250A (https=)
WO (1) WO2021216822A1 (https=)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI801038B (zh) * 2021-12-16 2023-05-01 新加坡商鴻運科股份有限公司 瑕疵檢測方法、系統、電子設備及介質
TWI844228B (zh) * 2022-01-26 2024-06-01 康斯坦茨大學 訓練神經網路執行機器學習任務
TWI886645B (zh) * 2023-11-21 2025-06-11 環球晶圓股份有限公司 產生標記結果檔的方法及電子裝置

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12450520B2 (en) * 2021-03-01 2025-10-21 Hitachi High-Tech Corporation Experiment point recommendation device, experiment point recommendation method, and semiconductor device manufacturing device
US12080042B2 (en) * 2021-07-16 2024-09-03 Taiwan Semiconductor Manufacturing Company, Ltd. Method for retrieving images from database
US12449379B2 (en) * 2023-05-25 2025-10-21 Applied Materials, Inc. Machine learning model training
US12462369B2 (en) * 2023-08-16 2025-11-04 Applied Materials, Inc. Method for image-based sensor trace analysis

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6456899B1 (en) 1999-12-07 2002-09-24 Ut-Battelle, Llc Context-based automated defect classification system using multiple morphological masks
SG189840A1 (en) * 2010-10-19 2013-06-28 3M Innovative Properties Co Computer-aided assignment of ratings to digital samples of a manufactured web product
JP5608575B2 (ja) * 2011-01-19 2014-10-15 株式会社日立ハイテクノロジーズ 画像分類方法および画像分類装置
US9715723B2 (en) * 2012-04-19 2017-07-25 Applied Materials Israel Ltd Optimization of unknown defect rejection for automatic defect classification
US10650508B2 (en) * 2014-12-03 2020-05-12 Kla-Tencor Corporation Automatic defect classification without sampling and feature selection
JP7144244B2 (ja) * 2018-08-31 2022-09-29 株式会社日立ハイテク パターン検査システム

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI801038B (zh) * 2021-12-16 2023-05-01 新加坡商鴻運科股份有限公司 瑕疵檢測方法、系統、電子設備及介質
TWI844228B (zh) * 2022-01-26 2024-06-01 康斯坦茨大學 訓練神經網路執行機器學習任務
TWI886645B (zh) * 2023-11-21 2025-06-11 環球晶圓股份有限公司 產生標記結果檔的方法及電子裝置

Also Published As

Publication number Publication date
US20210334608A1 (en) 2021-10-28
WO2021216822A1 (en) 2021-10-28
JP2023523426A (ja) 2023-06-05
CN115485740A (zh) 2022-12-16
KR20230006822A (ko) 2023-01-11
US11972552B2 (en) 2024-04-30

Similar Documents

Publication Publication Date Title
TW202147250A (zh) 異常晶圓圖像分類
TWI857227B (zh) 生成可用於檢查半導體樣本的訓練資料
US12007335B2 (en) Automatic optimization of an examination recipe
CN116012291A (zh) 工业零件图像缺陷检测方法及系统、电子设备和存储介质
KR20130118275A (ko) 자동 결함 분류를 위한 알려지지 않은 결함 리젝션의 최적화
Fekri-Ershad et al. A robust approach for surface defect detection based on one dimensional local binary patterns
Ghosh et al. Automated defective pin detection for recycled microelectronics identification
Rana et al. Deep machine learning based Image classification in hard disk drive manufacturing
KR20250132000A (ko) 반도체 계측을 위한 학습기반 의미적 분할 방법 및 장치
US11688055B2 (en) Methods and systems for analysis of wafer scan data
Bourgeat et al. Content-based segmentation of patterned wafer for automatic threshold determination
Mehran et al. Fuzzy machine vision based clip detection
Sander et al. Detection of defects on irregular structured surfaces by image processing methods for feature extraction
Nayan et al. Automated Fabric Defect Detection and Localization Using YOLOv8 and Deep Learning Techniques
CN116721098A (zh) 工业检测中的缺陷检测方法、缺陷检测装置