CN113892020B - 图像分析装置、方法、以及存储介质 - Google Patents
图像分析装置、方法、以及存储介质 Download PDFInfo
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- CN113892020B CN113892020B CN202080038727.2A CN202080038727A CN113892020B CN 113892020 B CN113892020 B CN 113892020B CN 202080038727 A CN202080038727 A CN 202080038727A CN 113892020 B CN113892020 B CN 113892020B
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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
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/0006—Industrial image inspection using a design-rule based approach
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/02—Investigating particle size or size distribution
- G01N15/0205—Investigating particle size or size distribution by optical means
- G01N15/0227—Investigating particle size or size distribution by optical means using imaging; using holography
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Optical investigation techniques, e.g. flow cytometry
- G01N15/1429—Signal processing
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Optical investigation techniques, e.g. flow cytometry
- G01N15/1429—Signal processing
- G01N15/1433—Signal processing using image recognition
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Optical investigation techniques, e.g. flow cytometry
- G01N15/1434—Optical arrangements
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/752—Contour matching
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/761—Proximity, similarity or dissimilarity measures
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
- G06V20/695—Preprocessing, e.g. image segmentation
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
- G06V20/698—Matching; Classification
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N2015/0096—Investigating consistence of powders, dustability, dustiness
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/02—Investigating particle size or size distribution
- G01N2015/0294—Particle shape
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Optical investigation techniques, e.g. flow cytometry
- G01N2015/1488—Methods for deciding
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Optical investigation techniques, e.g. flow cytometry
- G01N2015/1497—Particle shape
-
- 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
- G06T2207/10024—Color image
-
- 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
-
- 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
- G06T2207/30136—Metal
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Multimedia (AREA)
- Biochemistry (AREA)
- Pathology (AREA)
- Immunology (AREA)
- Analytical Chemistry (AREA)
- Dispersion Chemistry (AREA)
- Databases & Information Systems (AREA)
- Artificial Intelligence (AREA)
- Computing Systems (AREA)
- Evolutionary Computation (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Quality & Reliability (AREA)
- Signal Processing (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Geometry (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2019098384 | 2019-05-27 | ||
| JP2019-098384 | 2019-05-27 | ||
| PCT/JP2020/017799 WO2020241142A1 (ja) | 2019-05-27 | 2020-04-24 | 画像解析装置、方法、およびプログラム |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113892020A CN113892020A (zh) | 2022-01-04 |
| CN113892020B true CN113892020B (zh) | 2025-05-13 |
Family
ID=73554012
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202080038727.2A Active CN113892020B (zh) | 2019-05-27 | 2020-04-24 | 图像分析装置、方法、以及存储介质 |
Country Status (4)
| Country | Link |
|---|---|
| US (2) | US11995816B2 (https=) |
| JP (1) | JP7038259B2 (https=) |
| CN (1) | CN113892020B (https=) |
| WO (1) | WO2020241142A1 (https=) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB201718756D0 (en) * | 2017-11-13 | 2017-12-27 | Cambridge Bio-Augmentation Systems Ltd | Neural interface |
| US20220108434A1 (en) * | 2020-10-07 | 2022-04-07 | National Technology & Engineering Solutions Of Sandia, Llc | Deep learning for defect detection in high-reliability components |
| WO2023149513A1 (ja) * | 2022-02-05 | 2023-08-10 | 国立大学法人 東京大学 | 偽造画像検出装置、偽造画像検出方法、及びプログラム |
| KR102785966B1 (ko) * | 2022-03-18 | 2025-03-26 | 주식회사 뉴로메카 | 딥 러닝 알고리즘을 이용한 이미지 기반의 미세유체 세포 분류기 및 미세유체 세포 분류 방법 |
| CN118980682B (zh) * | 2024-10-21 | 2025-02-28 | 山东辛诚材料科技有限公司 | 一种基于图像识别的猫砂质检方法及系统 |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09185718A (ja) * | 1996-12-02 | 1997-07-15 | Hitachi Ltd | 自動パターン欠陥検査装置 |
| JP2018116391A (ja) * | 2017-01-17 | 2018-07-26 | みずほ情報総研株式会社 | 画像処理システム、画像処理方法及び画像処理プログラム |
Family Cites Families (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS6052741A (ja) * | 1983-09-01 | 1985-03-26 | Mitsubishi Rayon Co Ltd | 粒子径分布測定方法 |
| JPH0735696A (ja) * | 1993-07-23 | 1995-02-07 | Sharp Corp | 粒子凝集検出除去装置 |
| JP2790101B2 (ja) * | 1995-11-27 | 1998-08-27 | 東レ株式会社 | 粒子凝集パターン判定装置 |
| JP4899170B2 (ja) * | 2008-11-11 | 2012-03-21 | 独立行政法人産業技術総合研究所 | 画像処理システム、画像処理方法、プログラムおよび記録媒体 |
| JP5586889B2 (ja) * | 2009-07-29 | 2014-09-10 | 株式会社日立ハイテクノロジーズ | 粒子画像解析装置 |
| CN102494987A (zh) * | 2011-12-13 | 2012-06-13 | 天津卓朗科技发展有限公司 | 球墨铸铁中显微粒子的自动分类评级方法 |
| WO2017051327A1 (en) * | 2015-09-22 | 2017-03-30 | Imageprovision Technology Pvt. Ltd. | Method and system for detection and classification of particles based on processing of microphotographic images |
| US10657672B2 (en) * | 2015-09-30 | 2020-05-19 | Nec Corporation | Image processing device, image processing method and storage medium |
| CN106203456B (zh) * | 2016-07-20 | 2018-01-02 | 西安科技大学 | 基于改进差分进化粒子群算法的煤尘重叠颗粒分离方法 |
| EP3293672A1 (en) * | 2016-09-07 | 2018-03-14 | Malvern Panalytical Limited | Particle boundary identification |
| KR102481885B1 (ko) * | 2017-09-08 | 2022-12-28 | 삼성전자주식회사 | 클래스 인식을 위한 뉴럴 네트워크 학습 방법 및 디바이스 |
| WO2019053770A1 (en) * | 2017-09-12 | 2019-03-21 | Nec Corporation | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND INFORMATION MEDIUM |
| US10430937B2 (en) * | 2017-09-25 | 2019-10-01 | United Technologies Corporation | Automated material characterization system including conditional generative adversarial networks |
| CN108921782B (zh) * | 2018-05-17 | 2023-04-14 | 腾讯科技(深圳)有限公司 | 一种图像处理方法、装置及存储介质 |
| EP3859304B1 (en) * | 2018-09-27 | 2024-09-18 | HORIBA, Ltd. | Method for generating data for particle analysis, program for generating data for particle analysis, and device for generating data for particle analysis |
-
2020
- 2020-04-24 JP JP2021522720A patent/JP7038259B2/ja active Active
- 2020-04-24 CN CN202080038727.2A patent/CN113892020B/zh active Active
- 2020-04-24 WO PCT/JP2020/017799 patent/WO2020241142A1/ja not_active Ceased
- 2020-04-24 US US17/595,608 patent/US11995816B2/en active Active
-
2024
- 2024-04-24 US US18/644,586 patent/US12423804B2/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09185718A (ja) * | 1996-12-02 | 1997-07-15 | Hitachi Ltd | 自動パターン欠陥検査装置 |
| JP2018116391A (ja) * | 2017-01-17 | 2018-07-26 | みずほ情報総研株式会社 | 画像処理システム、画像処理方法及び画像処理プログラム |
Also Published As
| Publication number | Publication date |
|---|---|
| US20220327675A1 (en) | 2022-10-13 |
| US20240273711A1 (en) | 2024-08-15 |
| US11995816B2 (en) | 2024-05-28 |
| US12423804B2 (en) | 2025-09-23 |
| JPWO2020241142A1 (https=) | 2020-12-03 |
| CN113892020A (zh) | 2022-01-04 |
| WO2020241142A1 (ja) | 2020-12-03 |
| JP7038259B2 (ja) | 2022-03-17 |
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| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: Tokyo, Japan Applicant after: Lishennoco Co.,Ltd. Address before: Tokyo, Japan Applicant before: Showa electrical materials Co.,Ltd. |
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| CB02 | Change of applicant information | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20230704 Address after: Tokyo, Japan Applicant after: Showa electrical materials Co.,Ltd. Address before: Tokyo, Japan Applicant before: SHOWA DENKO Kabushiki Kaisha |
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