TWI805868B - 使用以深度學習為基礎之缺陷偵測及分類方案用於像素位準影像量化 - Google Patents
使用以深度學習為基礎之缺陷偵測及分類方案用於像素位準影像量化 Download PDFInfo
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- TWI805868B TWI805868B TW108141684A TW108141684A TWI805868B TW I805868 B TWI805868 B TW I805868B TW 108141684 A TW108141684 A TW 108141684A TW 108141684 A TW108141684 A TW 108141684A TW I805868 B TWI805868 B TW I805868B
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- Prior art keywords
- image
- processor
- defects
- pixels
- wafer
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Classifications
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01J—ELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
- H01J37/00—Discharge tubes with provision for introducing objects or material to be exposed to the discharge, e.g. for the purpose of examination or processing thereof
- H01J37/02—Details
- H01J37/22—Optical, image processing or photographic arrangements associated with the tube
- H01J37/222—Image processing arrangements associated with the tube
-
- 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
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/9501—Semiconductor wafers
- G01N21/9505—Wafer internal defects, e.g. microcracks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01J—ELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
- H01J37/00—Discharge tubes with provision for introducing objects or material to be exposed to the discharge, e.g. for the purpose of examination or processing thereof
- H01J37/26—Electron or ion microscopes; Electron or ion diffraction tubes
- H01J37/28—Electron or ion microscopes; Electron or ion diffraction tubes with scanning beams
-
- G—PHYSICS
- G06—COMPUTING OR 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
- G06T2207/10056—Microscopic image
- G06T2207/10061—Microscopic image from scanning electron microscope
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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
- G06T2207/30148—Semiconductor; IC; Wafer
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01J—ELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
- H01J2237/00—Discharge tubes exposing object to beam, e.g. for analysis treatment, etching, imaging
- H01J2237/22—Treatment of data
- H01J2237/221—Image processing
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01J—ELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
- H01J2237/00—Discharge tubes exposing object to beam, e.g. for analysis treatment, etching, imaging
- H01J2237/244—Detection characterized by the detecting means
- H01J2237/2448—Secondary particle detectors
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01J—ELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
- H01J2237/00—Discharge tubes exposing object to beam, e.g. for analysis treatment, etching, imaging
- H01J2237/26—Electron or ion microscopes
- H01J2237/28—Scanning microscopes
- H01J2237/2803—Scanning microscopes characterised by the imaging method
- H01J2237/2806—Secondary charged particle
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01J—ELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
- H01J2237/00—Discharge tubes exposing object to beam, e.g. for analysis treatment, etching, imaging
- H01J2237/26—Electron or ion microscopes
- H01J2237/28—Scanning microscopes
- H01J2237/2809—Scanning microscopes characterised by the imaging problems involved
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01J—ELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
- H01J2237/00—Discharge tubes exposing object to beam, e.g. for analysis treatment, etching, imaging
- H01J2237/26—Electron or ion microscopes
- H01J2237/28—Scanning microscopes
- H01J2237/2813—Scanning microscopes characterised by the application
- H01J2237/2817—Pattern inspection
Landscapes
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Analytical Chemistry (AREA)
- Chemical & Material Sciences (AREA)
- Quality & Reliability (AREA)
- Life Sciences & Earth Sciences (AREA)
- Pathology (AREA)
- Immunology (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Testing Or Measuring Of Semiconductors Or The Like (AREA)
- Analysing Materials By The Use Of Radiation (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
- Transforming Light Signals Into Electric Signals (AREA)
Applications Claiming Priority (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| IN201841042919 | 2018-11-15 | ||
| IN201841042919 | 2018-11-15 | ||
| US16/249,337 US10672588B1 (en) | 2018-11-15 | 2019-01-16 | Using deep learning based defect detection and classification schemes for pixel level image quantification |
| US16/249,337 | 2019-01-16 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| TW202033954A TW202033954A (zh) | 2020-09-16 |
| TWI805868B true TWI805868B (zh) | 2023-06-21 |
Family
ID=70727871
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| TW108141684A TWI805868B (zh) | 2018-11-15 | 2019-11-15 | 使用以深度學習為基礎之缺陷偵測及分類方案用於像素位準影像量化 |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US10672588B1 (enExample) |
| EP (1) | EP3870959A4 (enExample) |
| JP (1) | JP7216822B2 (enExample) |
| KR (1) | KR102513717B1 (enExample) |
| CN (1) | CN112969911B (enExample) |
| TW (1) | TWI805868B (enExample) |
| WO (1) | WO2020102611A1 (enExample) |
Families Citing this family (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10546160B2 (en) | 2018-01-05 | 2020-01-28 | Datamax-O'neil Corporation | Methods, apparatuses, and systems for providing print quality feedback and controlling print quality of machine-readable indicia |
| US10803264B2 (en) | 2018-01-05 | 2020-10-13 | Datamax-O'neil Corporation | Method, apparatus, and system for characterizing an optical system |
| US10834283B2 (en) | 2018-01-05 | 2020-11-10 | Datamax-O'neil Corporation | Methods, apparatuses, and systems for detecting printing defects and contaminated components of a printer |
| US10795618B2 (en) | 2018-01-05 | 2020-10-06 | Datamax-O'neil Corporation | Methods, apparatuses, and systems for verifying printed image and improving print quality |
| US11501424B2 (en) * | 2019-11-18 | 2022-11-15 | Stmicroelectronics (Rousset) Sas | Neural network training device, system and method |
| US11200659B2 (en) | 2019-11-18 | 2021-12-14 | Stmicroelectronics (Rousset) Sas | Neural network training device, system and method |
| US11449711B2 (en) * | 2020-01-02 | 2022-09-20 | Applied Materials Isreal Ltd. | Machine learning-based defect detection of a specimen |
| US11651981B2 (en) * | 2020-08-18 | 2023-05-16 | Taiwan Semiconductor Manufacturing Co., Ltd. | Method and system for map-free inspection of semiconductor devices |
| US20220101114A1 (en) * | 2020-09-27 | 2022-03-31 | Kla Corporation | Interpretable deep learning-based defect detection and classification |
| KR20220127004A (ko) | 2021-03-10 | 2022-09-19 | 삼성전자주식회사 | 확률론적 콘투어 예측 시스템 및 확률론적 콘투어 예측 시스템의 제공 방법 및 확률론적 콘투어 예측 시스템을 이용한 EUV(Extreme Ultra violet) 마스크의 제공 방법 |
| WO2022207181A1 (en) * | 2021-03-30 | 2022-10-06 | Asml Netherlands B.V. | Improved charged particle image inspection |
| CN112884769B (zh) * | 2021-04-12 | 2021-09-28 | 深圳中科飞测科技股份有限公司 | 图像处理方法、装置、光学系统和计算机可读存储介质 |
| US20220335288A1 (en) * | 2021-04-16 | 2022-10-20 | Micron Technology, Inc. | Systems, apparatuses and methods for detecting and classifying patterns of heatmaps |
| FR3125156B1 (fr) * | 2021-07-12 | 2023-11-10 | Safran | Controle non destructif d’une piece |
| JP7034529B1 (ja) * | 2021-08-13 | 2022-03-14 | 株式会社ハシマ | 学習モデルの生成方法、学習モデル、検査装置、検査方法およびコンピュータプログラム |
| KR20230029409A (ko) * | 2021-08-24 | 2023-03-03 | 삼성전자주식회사 | 반도체 장치의 제조를 위한 방법, 전자 장치 및 전자 장치의 동작 방법 |
| EP4148499A1 (en) * | 2021-09-09 | 2023-03-15 | ASML Netherlands B.V. | Patterning device defect detection systems and methods |
| CN113935982B (zh) * | 2021-10-27 | 2024-06-14 | 征图新视(江苏)科技股份有限公司 | 基于深度学习的印刷质量检测分析系统 |
| CN115222658B (zh) * | 2022-06-01 | 2025-12-02 | 湖南长步道光学科技有限公司 | 一种多工位并行镜片缺陷检测方法和装置 |
| CN115965574B (zh) * | 2022-08-31 | 2025-03-14 | 东方晶源微电子科技(北京)股份有限公司 | 基于设计版图的扫描电子显微镜图像缺陷检测方法、装置 |
| US12136225B2 (en) * | 2022-09-09 | 2024-11-05 | Applied Materials, Inc. | Clog detection via image analytics |
| US20240169514A1 (en) * | 2022-11-21 | 2024-05-23 | Onto Innovation Inc. | Defect detection in manufactured articles using multi-channel images |
| TWI839046B (zh) * | 2022-12-26 | 2024-04-11 | 華邦電子股份有限公司 | 膜層中的縫隙的檢測方法 |
| CN116993669B (zh) * | 2023-06-29 | 2024-11-08 | 东方晶源微电子科技(上海)有限公司 | 扫描电镜图像缺陷的确定方法及装置 |
| CN116840238A (zh) * | 2023-07-04 | 2023-10-03 | 杭州中为光电技术有限公司 | 一种硅棒检测设备、检测方法及切割方法 |
| US12561791B2 (en) * | 2023-09-26 | 2026-02-24 | Kla Corporation | Method to calibrate, predict, and control stochastic defects in EUV lithography |
| KR102693776B1 (ko) | 2023-11-14 | 2024-08-09 | 주식회사 파이비스 | 딥러닝 모델을 기반으로 오브젝트의 결함을 검출하기 위한 장치 및 방법 |
| CN120411120B (zh) * | 2025-07-07 | 2025-08-29 | 中科方寸知微(南京)科技有限公司 | 一种基于深度学习图像分割算法的输电图像缺陷检测及缺陷去重的方法及系统 |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020130262A1 (en) * | 2000-11-17 | 2002-09-19 | Mamoru Nakasuji | Method for inspecting substrate, substrate inspecting system and electron beam apparatus |
| US20030023404A1 (en) * | 2000-11-22 | 2003-01-30 | Osama Moselhi | Method and apparatus for the automated detection and classification of defects in sewer pipes |
| US20180060702A1 (en) * | 2016-08-23 | 2018-03-01 | Dongfang Jingyuan Electron Limited | Learning Based Defect Classification |
| TW201816670A (zh) * | 2016-10-14 | 2018-05-01 | 美商克萊譚克公司 | 用於經組態用於半導體應用之深度學習模型之診斷系統及方法 |
| US20180293721A1 (en) * | 2017-04-07 | 2018-10-11 | Kla-Tencor Corporation | Contour based defect detection |
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| US6292582B1 (en) | 1996-05-31 | 2001-09-18 | Lin Youling | Method and system for identifying defects in a semiconductor |
| US6067376A (en) | 1998-01-16 | 2000-05-23 | Cognex Corporation | Classifying pixels of an image |
| JP3749090B2 (ja) * | 2000-07-06 | 2006-02-22 | 大日本スクリーン製造株式会社 | パターン検査装置 |
| US7162071B2 (en) | 2002-12-20 | 2007-01-09 | Taiwan Semiconductor Manufacturing Co., Ltd. | Progressive self-learning defect review and classification method |
| TWI370501B (en) | 2003-11-10 | 2012-08-11 | Hermes Microvision Inc | Method and system for monitoring ic process |
| JP2006098152A (ja) | 2004-09-29 | 2006-04-13 | Dainippon Screen Mfg Co Ltd | 欠陥検出装置および欠陥検出方法 |
| JP2012217139A (ja) * | 2011-03-30 | 2012-11-08 | Sony Corp | 画像理装置および方法、並びにプログラム |
| JP5707291B2 (ja) * | 2011-09-29 | 2015-04-30 | 株式会社日立ハイテクノロジーズ | 画像分類支援を行う荷電粒子線装置 |
| US10186026B2 (en) * | 2015-11-17 | 2019-01-22 | Kla-Tencor Corp. | Single image detection |
| TWI797699B (zh) | 2015-12-22 | 2023-04-01 | 以色列商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 |
| US10181185B2 (en) | 2016-01-11 | 2019-01-15 | Kla-Tencor Corp. | Image based specimen process control |
| US10031997B1 (en) * | 2016-11-29 | 2018-07-24 | Taiwan Semiconductor Manufacturing Co., Ltd. | Forecasting wafer defects using frequency domain analysis |
-
2019
- 2019-01-16 US US16/249,337 patent/US10672588B1/en active Active
- 2019-11-15 TW TW108141684A patent/TWI805868B/zh active
- 2019-11-15 WO PCT/US2019/061578 patent/WO2020102611A1/en not_active Ceased
- 2019-11-15 EP EP19884619.8A patent/EP3870959A4/en active Pending
- 2019-11-15 CN CN201980073377.0A patent/CN112969911B/zh active Active
- 2019-11-15 JP JP2021526582A patent/JP7216822B2/ja active Active
- 2019-11-15 KR KR1020217018222A patent/KR102513717B1/ko active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020130262A1 (en) * | 2000-11-17 | 2002-09-19 | Mamoru Nakasuji | Method for inspecting substrate, substrate inspecting system and electron beam apparatus |
| US20030023404A1 (en) * | 2000-11-22 | 2003-01-30 | Osama Moselhi | Method and apparatus for the automated detection and classification of defects in sewer pipes |
| US20180060702A1 (en) * | 2016-08-23 | 2018-03-01 | Dongfang Jingyuan Electron Limited | Learning Based Defect Classification |
| TW201816670A (zh) * | 2016-10-14 | 2018-05-01 | 美商克萊譚克公司 | 用於經組態用於半導體應用之深度學習模型之診斷系統及方法 |
| US20180293721A1 (en) * | 2017-04-07 | 2018-10-11 | Kla-Tencor Corporation | Contour based defect detection |
Also Published As
| Publication number | Publication date |
|---|---|
| KR20210080567A (ko) | 2021-06-30 |
| CN112969911A (zh) | 2021-06-15 |
| JP7216822B2 (ja) | 2023-02-01 |
| EP3870959A4 (en) | 2022-07-27 |
| EP3870959A1 (en) | 2021-09-01 |
| TW202033954A (zh) | 2020-09-16 |
| JP2022507543A (ja) | 2022-01-18 |
| WO2020102611A1 (en) | 2020-05-22 |
| US10672588B1 (en) | 2020-06-02 |
| CN112969911B (zh) | 2022-09-06 |
| US20200161081A1 (en) | 2020-05-21 |
| KR102513717B1 (ko) | 2023-03-23 |
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