CN113994368A - 图像处理程序、图像处理装置以及图像处理方法 - Google Patents
图像处理程序、图像处理装置以及图像处理方法 Download PDFInfo
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- CN113994368A CN113994368A CN201980097253.6A CN201980097253A CN113994368A CN 113994368 A CN113994368 A CN 113994368A CN 201980097253 A CN201980097253 A CN 201980097253A CN 113994368 A CN113994368 A CN 113994368A
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
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- 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
- G06T7/001—Industrial image inspection using an image reference approach
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T9/00—Image coding
- G06T9/005—Statistical coding, e.g. Huffman, run length coding
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/469—Contour-based spatial representations, e.g. vector-coding
- G06V10/476—Contour-based spatial representations, e.g. vector-coding using statistical shape modelling, e.g. point distribution models
-
- 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
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- 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
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- 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]
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- 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
- G06T2207/30141—Printed circuit board [PCB]
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- 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
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- Theoretical Computer Science (AREA)
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- Computer Vision & Pattern Recognition (AREA)
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- Quality & Reliability (AREA)
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- Probability & Statistics with Applications (AREA)
- Bioinformatics & Computational Biology (AREA)
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- Life Sciences & Earth Sciences (AREA)
- Evolutionary Biology (AREA)
- Testing Or Measuring Of Semiconductors Or The Like (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
- Artificial Intelligence (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
- Data Mining & Analysis (AREA)
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Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2019/023447 WO2020250373A1 (ja) | 2019-06-13 | 2019-06-13 | 画像処理プログラム、画像処理装置および画像処理方法 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113994368A true CN113994368A (zh) | 2022-01-28 |
Family
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201980097253.6A Pending CN113994368A (zh) | 2019-06-13 | 2019-06-13 | 图像处理程序、图像处理装置以及图像处理方法 |
Country Status (6)
| Country | Link |
|---|---|
| US (2) | US12394038B2 (https=) |
| JP (2) | JP7162134B2 (https=) |
| KR (2) | KR20250069987A (https=) |
| CN (1) | CN113994368A (https=) |
| TW (3) | TWI813871B (https=) |
| WO (1) | WO2020250373A1 (https=) |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA3078085A1 (en) * | 2020-04-09 | 2021-10-09 | Techinsights Inc. | System and method for image segmentation from sparse particle impingement data |
| US11854184B2 (en) * | 2021-01-14 | 2023-12-26 | Applied Materials Israel Ltd. | Determination of defects and/or edge roughness in a specimen based on a reference image |
| WO2023127081A1 (ja) * | 2021-12-28 | 2023-07-06 | 株式会社日立ハイテク | 画像検査装置、画像処理方法 |
| JP7728711B2 (ja) * | 2022-01-14 | 2025-08-25 | 株式会社日立ハイテク | プロセッサシステム、半導体検査システム、およびプログラム |
| JP7829415B2 (ja) | 2022-06-13 | 2026-03-13 | 株式会社日立ハイテク | 欠陥検査装置 |
| CN115454560A (zh) * | 2022-10-18 | 2022-12-09 | 上海鼎捷移动科技有限公司 | 界面布局系统以及界面布局方法 |
| JP2024128511A (ja) * | 2023-03-10 | 2024-09-24 | キヤノン株式会社 | 画像処理装置、画像処理システム、画像処理方法、およびプログラム |
| CN121773325A (zh) * | 2023-08-23 | 2026-03-31 | 东京毅力科创株式会社 | 基片检查装置、基片检查方法和存储介质 |
| TWI905565B (zh) * | 2023-10-31 | 2025-11-21 | 英屬維爾京群島商威爾德嘉德有限公司 | 影像處理系統、影像處理方法、裝置及相關設備 |
| CN121169823B (zh) * | 2025-08-27 | 2026-04-03 | 东莞理工学院 | 一种基于小样本微调和可控扩散模型的工业缺陷样本生成方法 |
Citations (10)
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| JP2000164661A (ja) * | 1998-11-30 | 2000-06-16 | Hitachi Ltd | 回路パターンの検査装置 |
| JP2011055004A (ja) * | 2010-12-03 | 2011-03-17 | Hitachi High-Technologies Corp | 回路パターン検査方法、及び回路パターン検査システム |
| JP2013098267A (ja) * | 2011-10-31 | 2013-05-20 | Hitachi High-Technologies Corp | 半導体パターン検査装置 |
| JP2016057068A (ja) * | 2014-09-05 | 2016-04-21 | 株式会社ブイ・テクノロジー | パターン欠陥検査装置及びパターン欠陥検査方法 |
| CN107123114A (zh) * | 2017-04-21 | 2017-09-01 | 佛山市南海区广工大数控装备协同创新研究院 | 一种基于机器学习的布匹缺陷检测方法及装置 |
| CN107169956A (zh) * | 2017-04-28 | 2017-09-15 | 西安工程大学 | 基于卷积神经网络的色织物疵点检测方法 |
| CN107607554A (zh) * | 2017-09-26 | 2018-01-19 | 天津工业大学 | 一种基于全卷积神经网络的镀锌冲压件的瑕疵检测与分类方法 |
| CN108734690A (zh) * | 2018-03-02 | 2018-11-02 | 苏州汉特士视觉科技有限公司 | 一种视觉缺陷检测设备及其检测方法 |
| CN109871895A (zh) * | 2019-02-22 | 2019-06-11 | 北京百度网讯科技有限公司 | 电路板的缺陷检测方法和装置 |
| CN109872313A (zh) * | 2019-02-15 | 2019-06-11 | 苏州晓创光电科技有限公司 | 一种基于深度卷积自编码器的产品表面缺陷检测方法 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| JP4920268B2 (ja) * | 2006-02-23 | 2012-04-18 | 株式会社日立ハイテクノロジーズ | 半導体プロセスモニタ方法およびそのシステム |
| JP5275017B2 (ja) | 2008-12-25 | 2013-08-28 | 株式会社日立ハイテクノロジーズ | 欠陥検査方法及びその装置 |
| KR101342203B1 (ko) * | 2010-01-05 | 2013-12-16 | 가부시키가이샤 히다치 하이테크놀로지즈 | Sem을 이용한 결함 검사 방법 및 장치 |
| JP5622398B2 (ja) | 2010-01-05 | 2014-11-12 | 株式会社日立ハイテクノロジーズ | Semを用いた欠陥検査方法及び装置 |
| JP6018803B2 (ja) | 2012-05-31 | 2016-11-02 | 株式会社日立ハイテクノロジーズ | 計測方法、画像処理装置、及び荷電粒子線装置 |
| US9965901B2 (en) | 2015-11-19 | 2018-05-08 | KLA—Tencor Corp. | Generating simulated images from design information |
| US10181185B2 (en) | 2016-01-11 | 2019-01-15 | Kla-Tencor Corp. | Image based specimen process control |
| KR102376200B1 (ko) | 2016-05-12 | 2022-03-18 | 에이에스엠엘 네델란즈 비.브이. | 기계 학습에 의한 결함 또는 핫스폿의 식별 |
| KR102194154B1 (ko) | 2016-09-01 | 2020-12-22 | 주식회사 히타치하이테크 | 패턴 계측 장치 |
| JP6759034B2 (ja) * | 2016-09-29 | 2020-09-23 | 株式会社日立ハイテク | パターン評価装置及びコンピュータープログラム |
| US10809635B2 (en) | 2017-11-20 | 2020-10-20 | Taiwan Semiconductor Manufacturing Company, Ltd. | Defect inspection method and defect inspection system |
| US10713769B2 (en) * | 2018-06-05 | 2020-07-14 | Kla-Tencor Corp. | Active learning for defect classifier training |
| US20210397198A1 (en) * | 2020-06-18 | 2021-12-23 | Ford Global Technologies, Llc | Enhanced vehicle operation |
-
2019
- 2019-06-13 WO PCT/JP2019/023447 patent/WO2020250373A1/ja not_active Ceased
- 2019-06-13 KR KR1020257015401A patent/KR20250069987A/ko active Pending
- 2019-06-13 CN CN201980097253.6A patent/CN113994368A/zh active Pending
- 2019-06-13 KR KR1020217038957A patent/KR102808073B1/ko active Active
- 2019-06-13 US US17/596,025 patent/US12394038B2/en active Active
- 2019-06-13 JP JP2021525501A patent/JP7162134B2/ja active Active
-
2020
- 2020-04-01 TW TW109111264A patent/TWI813871B/zh active
- 2020-04-01 TW TW112148609A patent/TWI883705B/zh active
- 2020-04-01 TW TW112115907A patent/TWI861845B/zh active
-
2022
- 2022-10-17 JP JP2022165935A patent/JP7427744B2/ja active Active
-
2024
- 2024-08-08 US US18/797,711 patent/US20240404043A1/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000164661A (ja) * | 1998-11-30 | 2000-06-16 | Hitachi Ltd | 回路パターンの検査装置 |
| JP2011055004A (ja) * | 2010-12-03 | 2011-03-17 | Hitachi High-Technologies Corp | 回路パターン検査方法、及び回路パターン検査システム |
| JP2013098267A (ja) * | 2011-10-31 | 2013-05-20 | Hitachi High-Technologies Corp | 半導体パターン検査装置 |
| JP2016057068A (ja) * | 2014-09-05 | 2016-04-21 | 株式会社ブイ・テクノロジー | パターン欠陥検査装置及びパターン欠陥検査方法 |
| CN107123114A (zh) * | 2017-04-21 | 2017-09-01 | 佛山市南海区广工大数控装备协同创新研究院 | 一种基于机器学习的布匹缺陷检测方法及装置 |
| CN107169956A (zh) * | 2017-04-28 | 2017-09-15 | 西安工程大学 | 基于卷积神经网络的色织物疵点检测方法 |
| CN107607554A (zh) * | 2017-09-26 | 2018-01-19 | 天津工业大学 | 一种基于全卷积神经网络的镀锌冲压件的瑕疵检测与分类方法 |
| CN108734690A (zh) * | 2018-03-02 | 2018-11-02 | 苏州汉特士视觉科技有限公司 | 一种视觉缺陷检测设备及其检测方法 |
| CN109872313A (zh) * | 2019-02-15 | 2019-06-11 | 苏州晓创光电科技有限公司 | 一种基于深度卷积自编码器的产品表面缺陷检测方法 |
| CN109871895A (zh) * | 2019-02-22 | 2019-06-11 | 北京百度网讯科技有限公司 | 电路板的缺陷检测方法和装置 |
Also Published As
| Publication number | Publication date |
|---|---|
| JP7427744B2 (ja) | 2024-02-05 |
| US20220318975A1 (en) | 2022-10-06 |
| JP2023002652A (ja) | 2023-01-10 |
| JPWO2020250373A1 (https=) | 2020-12-17 |
| TW202333106A (zh) | 2023-08-16 |
| KR20220002572A (ko) | 2022-01-06 |
| TW202046246A (zh) | 2020-12-16 |
| US12394038B2 (en) | 2025-08-19 |
| TWI861845B (zh) | 2024-11-11 |
| KR20250069987A (ko) | 2025-05-20 |
| WO2020250373A1 (ja) | 2020-12-17 |
| TWI883705B (zh) | 2025-05-11 |
| KR102808073B1 (ko) | 2025-05-16 |
| US20240404043A1 (en) | 2024-12-05 |
| TW202418220A (zh) | 2024-05-01 |
| TWI813871B (zh) | 2023-09-01 |
| JP7162134B2 (ja) | 2022-10-27 |
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