SG10202001656VA - A computer implemented process to enhance edge defect detection and other defects in ophthalmic lenses - Google Patents

A computer implemented process to enhance edge defect detection and other defects in ophthalmic lenses

Info

Publication number
SG10202001656VA
SG10202001656VA SG10202001656VA SG10202001656VA SG10202001656VA SG 10202001656V A SG10202001656V A SG 10202001656VA SG 10202001656V A SG10202001656V A SG 10202001656VA SG 10202001656V A SG10202001656V A SG 10202001656VA SG 10202001656V A SG10202001656V A SG 10202001656VA
Authority
SG
Singapore
Prior art keywords
defects
computer implemented
defect detection
implemented process
ophthalmic lenses
Prior art date
Application number
SG10202001656VA
Other languages
English (en)
Inventor
Soon Wei Wong
parameshwara Srinivas Kundapura
Original Assignee
Emage Ai Pte Ltd
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 Emage Ai Pte Ltd filed Critical Emage Ai Pte Ltd
Priority to SG10202001656VA priority Critical patent/SG10202001656VA/en
Priority to DE102021201767.3A priority patent/DE102021201767A1/de
Priority to KR1020210025985A priority patent/KR20210108338A/ko
Priority to TW110106710A priority patent/TWI847016B/zh
Priority to JP2021028954A priority patent/JP2021152886A/ja
Priority to US17/185,359 priority patent/US11816824B2/en
Priority to CN202110212782.5A priority patent/CN113376182A/zh
Publication of SG10202001656VA publication Critical patent/SG10202001656VA/en

Links

Classifications

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    • 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
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    • GPHYSICS
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    • G06V10/449Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/66Trinkets, e.g. shirt buttons or jewellery items
    • 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
    • G01N21/958Inspecting transparent materials or objects, e.g. windscreens
    • G01N2021/9583Lenses
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/047Probabilistic or stochastic networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10004Still image; Photographic image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20021Dividing image into blocks, subimages or windows
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20172Image enhancement details
    • G06T2207/20192Edge enhancement; Edge preservation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
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    • 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)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Quality & Reliability (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Immunology (AREA)
  • Biochemistry (AREA)
  • Analytical Chemistry (AREA)
  • Pathology (AREA)
  • Chemical & Material Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Eyeglasses (AREA)
SG10202001656VA 2020-02-25 2020-02-25 A computer implemented process to enhance edge defect detection and other defects in ophthalmic lenses SG10202001656VA (en)

Priority Applications (7)

Application Number Priority Date Filing Date Title
SG10202001656VA SG10202001656VA (en) 2020-02-25 2020-02-25 A computer implemented process to enhance edge defect detection and other defects in ophthalmic lenses
DE102021201767.3A DE102021201767A1 (de) 2020-02-25 2021-02-25 Computerimplementiertes Verfahren zur Verbesserung der Erkennung von Randdefekten und anderen Defekten in opthalmischen Linsen
KR1020210025985A KR20210108338A (ko) 2020-02-25 2021-02-25 안과 렌즈의 에지 결함 및 다른 결함의 검출을 향상시키기 위한 컴퓨터 구현 프로세스
TW110106710A TWI847016B (zh) 2020-02-25 2021-02-25 提高偵測隱形眼鏡邊緣缺陷與其他缺陷的電腦實施處理方法
JP2021028954A JP2021152886A (ja) 2020-02-25 2021-02-25 眼科用レンズにおけるエッジ欠陥検出および他の欠陥を強化するためのコンピュータ実装プロセス
US17/185,359 US11816824B2 (en) 2020-02-25 2021-02-25 Computer implemented process to enhance edge defect detection and other defects in ophthalmic lenses
CN202110212782.5A CN113376182A (zh) 2020-02-25 2021-02-25 增强眼科透镜边缘缺陷检测和其他缺陷的计算机实现方法

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
SG10202001656VA SG10202001656VA (en) 2020-02-25 2020-02-25 A computer implemented process to enhance edge defect detection and other defects in ophthalmic lenses

Publications (1)

Publication Number Publication Date
SG10202001656VA true SG10202001656VA (en) 2021-09-29

Family

ID=77176356

Family Applications (1)

Application Number Title Priority Date Filing Date
SG10202001656VA SG10202001656VA (en) 2020-02-25 2020-02-25 A computer implemented process to enhance edge defect detection and other defects in ophthalmic lenses

Country Status (6)

Country Link
US (1) US11816824B2 (ja)
JP (1) JP2021152886A (ja)
KR (1) KR20210108338A (ja)
CN (1) CN113376182A (ja)
DE (1) DE102021201767A1 (ja)
SG (1) SG10202001656VA (ja)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11488020B2 (en) * 2020-06-02 2022-11-01 Sap Se Adaptive high-resolution digital image processing with neural networks
US20230033187A1 (en) * 2021-07-28 2023-02-02 Coopervision International Limited Systems and methods for acquiring and inspecting lens images of ophthalmic lenses
CN116055778B (zh) * 2022-05-30 2023-11-21 荣耀终端有限公司 视频数据的处理方法、电子设备及可读存储介质
CN114782288A (zh) * 2022-06-22 2022-07-22 深圳市润之汇实业有限公司 基于图像的透镜生产工艺监督方法、装置、设备及介质

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10262229B1 (en) * 2015-03-24 2019-04-16 Hrl Laboratories, Llc Wide-area salient object detection architecture for low power hardware platforms
WO2019018693A2 (en) * 2017-07-19 2019-01-24 Altius Institute For Biomedical Sciences METHODS OF ANALYZING MICROSCOPIC IMAGES USING AUTOMATIC LEARNING

Also Published As

Publication number Publication date
JP2021152886A (ja) 2021-09-30
US11816824B2 (en) 2023-11-14
DE102021201767A1 (de) 2021-08-26
TW202202831A (zh) 2022-01-16
US20210264585A1 (en) 2021-08-26
KR20210108338A (ko) 2021-09-02
CN113376182A (zh) 2021-09-10

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