TWI748122B - 用於對多個項進行分類的系統、方法和電腦程式產品 - Google Patents

用於對多個項進行分類的系統、方法和電腦程式產品 Download PDF

Info

Publication number
TWI748122B
TWI748122B TW107130054A TW107130054A TWI748122B TW I748122 B TWI748122 B TW I748122B TW 107130054 A TW107130054 A TW 107130054A TW 107130054 A TW107130054 A TW 107130054A TW I748122 B TWI748122 B TW I748122B
Authority
TW
Taiwan
Prior art keywords
defects
defect
user
class
given
Prior art date
Application number
TW107130054A
Other languages
English (en)
Chinese (zh)
Other versions
TW201933279A (zh
Inventor
阿賽夫 艾斯拜格
寶茲 扣漢
Original Assignee
以色列商應用材料以色列公司
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 以色列商應用材料以色列公司 filed Critical 以色列商應用材料以色列公司
Publication of TW201933279A publication Critical patent/TW201933279A/zh
Application granted granted Critical
Publication of TWI748122B publication Critical patent/TWI748122B/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
    • G06T7/001Industrial image inspection using an image reference approach
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques
    • 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
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/40Software arrangements specially adapted for pattern recognition, e.g. user interfaces or toolboxes therefor
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G06F3/0482Interaction with lists of selectable items, e.g. menus
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/02Knowledge representation; Symbolic representation
    • G06N5/022Knowledge engineering; Knowledge acquisition
    • 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
    • G06V10/762Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • 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
    • G06V10/94Hardware or software architectures specially adapted for image or video understanding
    • G06V10/945User interactive design; Environments; Toolboxes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G01N2021/8854Grading and classifying of flaws
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/95Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • G01N21/9501Semiconductor wafers
    • 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
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/06Recognition of objects for industrial automation

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Multimedia (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Medical Informatics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Mathematical Physics (AREA)
  • Human Computer Interaction (AREA)
  • Quality & Reliability (AREA)
  • Computational Linguistics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Image Analysis (AREA)
  • Testing Or Measuring Of Semiconductors Or The Like (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
TW107130054A 2017-09-28 2018-08-29 用於對多個項進行分類的系統、方法和電腦程式產品 TWI748122B (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US15/719,433 US11138507B2 (en) 2017-09-28 2017-09-28 System, method and computer program product for classifying a multiplicity of items
US15/719,433 2017-09-28

Publications (2)

Publication Number Publication Date
TW201933279A TW201933279A (zh) 2019-08-16
TWI748122B true TWI748122B (zh) 2021-12-01

Family

ID=65807515

Family Applications (1)

Application Number Title Priority Date Filing Date
TW107130054A TWI748122B (zh) 2017-09-28 2018-08-29 用於對多個項進行分類的系統、方法和電腦程式產品

Country Status (5)

Country Link
US (1) US11138507B2 (enExample)
JP (1) JP2019106171A (enExample)
KR (1) KR102377374B1 (enExample)
CN (1) CN109598698B (enExample)
TW (1) TWI748122B (enExample)

Families Citing this family (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110598086B (zh) * 2018-05-25 2020-11-24 腾讯科技(深圳)有限公司 文章推荐方法、装置、计算机设备及存储介质
EP3792717A1 (en) * 2019-09-12 2021-03-17 FRAUNHOFER-GESELLSCHAFT zur Förderung der angewandten Forschung e.V. Tracking system
US11282189B2 (en) * 2019-09-16 2022-03-22 Intel Corporation Unsupervised clustering to identify anomalies
US11360030B2 (en) * 2020-02-04 2022-06-14 Applied Materials Isreal Ltd Selecting a coreset of potential defects for estimating expected defects of interest
US11379972B2 (en) 2020-06-03 2022-07-05 Applied Materials Israel Ltd. Detecting defects in semiconductor specimens using weak labeling
CN111680750B (zh) * 2020-06-09 2022-12-06 创新奇智(合肥)科技有限公司 图像识别方法、装置和设备
US11507252B2 (en) 2020-08-19 2022-11-22 Panasonic Intellectual Property Management Co., Ltd. Methods and systems for monitoring objects for labelling
JP7635540B2 (ja) * 2020-12-09 2025-02-26 富士フイルムビジネスイノベーション株式会社 情報処理装置、及び情報処理プログラム
US11176516B1 (en) * 2020-12-21 2021-11-16 Coupang Corp. Systems and methods for automated information collection and processing
EP4315178A4 (en) * 2021-03-30 2024-12-04 Siemens Industry Software Inc. METHOD AND SYSTEM FOR DETECTING A FALSE ERROR ON A COMPONENT OF A BOARD INSPECTED BY AN AOI MACHINE
US12198332B2 (en) * 2021-09-28 2025-01-14 Siemens Healthineers International Ag Systems and methods for refining training data
KR20240112881A (ko) 2021-12-20 2024-07-19 칼 짜이스 에스엠테 게엠베하 증가된 처리량을 갖는 반도체 피처의 측정 방법 및 장치
WO2023143950A1 (en) 2022-01-27 2023-08-03 Carl Zeiss Smt Gmbh Computer implemented method for the detection and classification of anomalies in an imaging dataset of a wafer, and systems making use of such methods
CN116486178B (zh) * 2023-05-16 2024-01-19 中科慧远视觉技术(洛阳)有限公司 一种缺陷检测方法、装置、电子设备及存储介质

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103439346A (zh) * 2004-10-12 2013-12-11 恪纳腾技术公司 用于分类样品上的缺陷的计算机实现的方法和系统
US9020237B2 (en) * 2010-06-07 2015-04-28 Hitachi High-Technologies Corporation Method for optimizing observed image classification criterion and image classification apparatus
TW201721483A (zh) * 2015-08-10 2017-06-16 克萊譚克公司 用於半導體遮罩檢測之基於多邊形之幾何分類
TW201732690A (zh) * 2015-12-22 2017-09-16 應用材料以色列公司 半導體試樣的基於深度學習之檢查的方法及其系統

Family Cites Families (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5544256A (en) * 1993-10-22 1996-08-06 International Business Machines Corporation Automated defect classification system
US5966459A (en) * 1997-07-17 1999-10-12 Advanced Micro Devices, Inc. Automatic defect classification (ADC) reclassification engine
US6185511B1 (en) * 1997-11-28 2001-02-06 Advanced Micro Devices, Inc. Method to accurately determine classification codes for defects during semiconductor manufacturing
JP4132229B2 (ja) * 1998-06-03 2008-08-13 株式会社ルネサステクノロジ 欠陥分類方法
US6922482B1 (en) * 1999-06-15 2005-07-26 Applied Materials, Inc. Hybrid invariant adaptive automatic defect classification
JP2001156135A (ja) * 1999-11-29 2001-06-08 Hitachi Ltd 欠陥画像の分類方法及びその装置並びにそれを用いた半導体デバイスの製造方法
JP2001168160A (ja) * 1999-12-07 2001-06-22 Sony Corp 半導体ウェハの検査システム
US6456899B1 (en) * 1999-12-07 2002-09-24 Ut-Battelle, Llc Context-based automated defect classification system using multiple morphological masks
JP2002310962A (ja) * 2001-04-19 2002-10-23 Hitachi Ltd 画像分類方法並びに観察方法及びその装置
US7162071B2 (en) * 2002-12-20 2007-01-09 Taiwan Semiconductor Manufacturing Co., Ltd. Progressive self-learning defect review and classification method
US7756320B2 (en) * 2003-03-12 2010-07-13 Hitachi High-Technologies Corporation Defect classification using a logical equation for high stage classification
US7020536B2 (en) * 2004-02-06 2006-03-28 Powerchip Semiconductor Corp. Method of building a defect database
JP3834041B2 (ja) * 2004-03-31 2006-10-18 オリンパス株式会社 学習型分類装置及び学習型分類方法
US7904845B2 (en) * 2006-12-06 2011-03-08 Kla-Tencor Corp. Determining locations on a wafer to be reviewed during defect review
US8682085B2 (en) * 2008-10-06 2014-03-25 Panasonic Corporation Representative image display device and representative image selection method
KR101214806B1 (ko) * 2010-05-11 2012-12-24 가부시키가이샤 사무코 웨이퍼 결함 검사 장치 및 웨이퍼 결함 검사 방법
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
US10330608B2 (en) * 2012-05-11 2019-06-25 Kla-Tencor Corporation Systems and methods for wafer surface feature detection, classification and quantification with wafer geometry metrology tools
US10436720B2 (en) * 2015-09-18 2019-10-08 KLA-Tenfor Corp. Adaptive automatic defect classification
US10223615B2 (en) * 2016-08-23 2019-03-05 Dongfang Jingyuan Electron Limited Learning based defect classification
US10713769B2 (en) * 2018-06-05 2020-07-14 Kla-Tencor Corp. Active learning for defect classifier training
US10825650B2 (en) * 2018-09-28 2020-11-03 Taiwan Semiconductor Manufacturing Co., Ltd. Machine learning on wafer defect review
CN110414538B (zh) * 2019-07-24 2022-05-27 京东方科技集团股份有限公司 缺陷分类方法、缺陷分类训练方法及其装置

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103439346A (zh) * 2004-10-12 2013-12-11 恪纳腾技术公司 用于分类样品上的缺陷的计算机实现的方法和系统
US9020237B2 (en) * 2010-06-07 2015-04-28 Hitachi High-Technologies Corporation Method for optimizing observed image classification criterion and image classification apparatus
TW201721483A (zh) * 2015-08-10 2017-06-16 克萊譚克公司 用於半導體遮罩檢測之基於多邊形之幾何分類
TW201732690A (zh) * 2015-12-22 2017-09-16 應用材料以色列公司 半導體試樣的基於深度學習之檢查的方法及其系統

Also Published As

Publication number Publication date
KR20190037161A (ko) 2019-04-05
TW201933279A (zh) 2019-08-16
JP2019106171A (ja) 2019-06-27
CN109598698B (zh) 2024-02-27
CN109598698A (zh) 2019-04-09
US20190095800A1 (en) 2019-03-28
KR102377374B1 (ko) 2022-03-21
US11138507B2 (en) 2021-10-05

Similar Documents

Publication Publication Date Title
TWI748122B (zh) 用於對多個項進行分類的系統、方法和電腦程式產品
TWI731303B (zh) 產生可用於檢查半導體樣品的訓練集之方法及其系統
CN114092387B (zh) 生成可用于检查半导体样本的训练数据
TWI767108B (zh) 用於檢查半導體試樣的方法與系統及在其上紀錄相關指令的電腦可讀取媒體
CN111512324B (zh) 半导体样品的基于深度学习的检查的方法及其系统
TWI889675B (zh) 基於機器學習之半導體樣本中的缺陷分類之方法、系統及非暫態電腦可讀取媒體
TWI865645B (zh) 決定檢驗樣品的缺陷位置
TWI763451B (zh) 利用自動地選擇演算法模組來檢驗樣本的系統、方法、和非暫時性電腦可讀媒體
TWI864314B (zh) 樣本的類比圖像的決定
TW201834095A (zh) 用於在檢查物件時自我調整取樣的方法和其系統
US12277750B2 (en) Identification of an array in a semiconductor specimen
TW202043755A (zh) 對半導體取樣中的缺陷進行分類的方法及其系統
TW202339038A (zh) 基於機器學習的半導體樣品的檢查及其訓練
US10937706B2 (en) Method of examining defects in a semiconductor specimen and system thereof
TWI906018B (zh) 檢查方案的自動最佳化