JPWO2021251062A1 - - Google Patents
Info
- Publication number
- JPWO2021251062A1 JPWO2021251062A1 JP2022530079A JP2022530079A JPWO2021251062A1 JP WO2021251062 A1 JPWO2021251062 A1 JP WO2021251062A1 JP 2022530079 A JP2022530079 A JP 2022530079A JP 2022530079 A JP2022530079 A JP 2022530079A JP WO2021251062 A1 JPWO2021251062 A1 JP WO2021251062A1
- Authority
- JP
- Japan
- Legal status (The legal status 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 status listed.)
- Granted
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
- G01M3/04—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/38—Investigating fluid-tightness of structures by using light
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/60—Image enhancement or restoration using machine learning, e.g. neural networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/90—Dynamic range modification of images or parts thereof
- G06T5/94—Dynamic range modification of images or parts thereof based on local image properties, e.g. for local contrast enhancement
-
- 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
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- 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
- G06T2207/10048—Infrared 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
- G06T2207/10141—Special mode during image acquisition
- G06T2207/10152—Varying illumination
-
- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/56—Cameras or camera modules comprising electronic image sensors; Control thereof provided with illuminating means
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2020100650 | 2020-06-10 | ||
| JP2020100650 | 2020-06-10 | ||
| PCT/JP2021/018407 WO2021251062A1 (ja) | 2020-06-10 | 2021-05-14 | 反射成分抑制画像生成装置、反射成分抑制推論モデル生成装置、反射成分抑制画像生成方法、及びプログラム |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JPWO2021251062A1 true JPWO2021251062A1 (https=) | 2021-12-16 |
| JPWO2021251062A5 JPWO2021251062A5 (https=) | 2024-05-21 |
| JP7746990B2 JP7746990B2 (ja) | 2025-10-01 |
Family
ID=78847195
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022530079A Active JP7746990B2 (ja) | 2020-06-10 | 2021-05-14 | 反射成分抑制画像生成装置、反射成分抑制推論モデル生成装置、反射成分抑制画像生成方法、及びプログラム |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US20230351568A1 (https=) |
| JP (1) | JP7746990B2 (https=) |
| WO (1) | WO2021251062A1 (https=) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023239351A1 (en) * | 2022-06-06 | 2023-12-14 | Landmark Graphics Corporation | Emissions estimations at a hydrocarbon operation location using a data-driven approach |
| US12608938B2 (en) | 2022-11-14 | 2026-04-21 | Cisco Technology, Inc. | Self-supervised learning for video analytics |
| US12518529B2 (en) | 2022-11-15 | 2026-01-06 | Cisco Technology, Inc. | Reflection detection in video analytics |
| US12524670B2 (en) | 2022-12-23 | 2026-01-13 | Cisco Technology, Inc. | Automated ground truth generation using a neuro-symbolic metamodel |
| US12548371B2 (en) | 2023-02-09 | 2026-02-10 | Cisco Technology, Inc. | Behavioral group analytics for video |
| US12536800B2 (en) | 2023-02-23 | 2026-01-27 | Cisco Technology, Inc. | Privacy preserving person reidentification |
| US20250265694A1 (en) * | 2024-02-15 | 2025-08-21 | Kla Corporation | Deep learning model diagnostics tools using stacked images |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180197048A1 (en) * | 2017-01-11 | 2018-07-12 | Ford Global Technologies, Llc | Generating Training Data for Automatic Vehicle Leak Detection |
| JP2019074777A (ja) * | 2017-10-12 | 2019-05-16 | キヤノン株式会社 | 画像処理方法、画像処理装置、および撮像装置 |
| JP2019148940A (ja) * | 2018-02-26 | 2019-09-05 | パナソニック株式会社 | 学習処理方法、サーバ装置及び反射検知システム |
| JP2020008326A (ja) * | 2018-07-03 | 2020-01-16 | コニカミノルタ株式会社 | ガス可視化用画像処理装置、ガス可視化用画像処理方法、ガス可視化用画像処理プログラム、及び、ガス検知システム |
| JP2020063955A (ja) * | 2018-10-16 | 2020-04-23 | 千代田化工建設株式会社 | 流体漏洩検知システム、流体漏洩検知装置、及び学習装置 |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6468069B2 (en) * | 1999-10-25 | 2002-10-22 | Jerome H. Lemelson | Automatically optimized combustion control |
| CN106161875B (zh) * | 2015-03-25 | 2019-02-15 | 瑞昱半导体股份有限公司 | 图像处理装置与方法 |
| US10675955B2 (en) * | 2016-11-14 | 2020-06-09 | Google Llc | Adaptive glare removal and/or color correction |
| CN106780519B (zh) * | 2017-02-13 | 2019-05-17 | 杭州电子科技大学 | 基于快速张量鲁棒模型的视频前景提取方法 |
| KR102410834B1 (ko) * | 2017-10-27 | 2022-06-20 | 삼성전자주식회사 | 반사 영역을 제거하는 방법, 사용자의 눈을 추적하는 방법 및 그 장치 |
| JP2019144899A (ja) * | 2018-02-21 | 2019-08-29 | 株式会社豊田中央研究所 | 反射モデル学習装置、画像生成装置、評価装置及びプログラム |
| JP7212554B2 (ja) * | 2018-09-07 | 2023-01-25 | パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカ | 情報処理方法、情報処理装置、及びプログラム |
| CN113168670A (zh) * | 2018-11-07 | 2021-07-23 | 光谱Optix有限公司 | 使用神经网络的亮点去除 |
| CN110827207B (zh) * | 2019-09-17 | 2022-12-02 | 北京大学 | 一种基于协同分合学习机制的反射消除方法 |
-
2021
- 2021-05-14 US US17/925,231 patent/US20230351568A1/en active Pending
- 2021-05-14 WO PCT/JP2021/018407 patent/WO2021251062A1/ja not_active Ceased
- 2021-05-14 JP JP2022530079A patent/JP7746990B2/ja active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180197048A1 (en) * | 2017-01-11 | 2018-07-12 | Ford Global Technologies, Llc | Generating Training Data for Automatic Vehicle Leak Detection |
| JP2019074777A (ja) * | 2017-10-12 | 2019-05-16 | キヤノン株式会社 | 画像処理方法、画像処理装置、および撮像装置 |
| JP2019148940A (ja) * | 2018-02-26 | 2019-09-05 | パナソニック株式会社 | 学習処理方法、サーバ装置及び反射検知システム |
| JP2020008326A (ja) * | 2018-07-03 | 2020-01-16 | コニカミノルタ株式会社 | ガス可視化用画像処理装置、ガス可視化用画像処理方法、ガス可視化用画像処理プログラム、及び、ガス検知システム |
| JP2020063955A (ja) * | 2018-10-16 | 2020-04-23 | 千代田化工建設株式会社 | 流体漏洩検知システム、流体漏洩検知装置、及び学習装置 |
Also Published As
| Publication number | Publication date |
|---|---|
| JP7746990B2 (ja) | 2025-10-01 |
| US20230351568A1 (en) | 2023-11-02 |
| WO2021251062A1 (ja) | 2021-12-16 |
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