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 KR1020210025985A priority patent/KR20210108338A/ko
Priority to DE102021201767.3A priority patent/DE102021201767A1/de
Priority to JP2021028954A priority patent/JP2021152886A/ja
Priority to TW110106710A priority patent/TWI847016B/zh
Priority to CN202110212782.5A priority patent/CN113376182A/zh
Priority to US17/185,359 priority patent/US11816824B2/en
Publication of SG10202001656VA publication Critical patent/SG10202001656VA/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • G06T1/20—Processor architectures; Processor configuration, e.g. pipelining
    • 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
    • G01N21/958—Inspecting transparent materials or objects, e.g. windscreens
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/042—Knowledge-based neural networks; Logical representations of neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/70—Denoising; Smoothing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/13—Edge detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/32—Normalisation of the pattern dimensions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/34—Smoothing or thinning of the pattern; Morphological operations; Skeletonisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/94—Hardware or software architectures specially adapted for image or video understanding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/66—Trinkets, e.g. shirt buttons or jewellery items
    • 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
    • G01N21/958—Inspecting transparent materials or objects, e.g. windscreens
    • G01N2021/9583—Lenses
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/047—Probabilistic or stochastic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10004—Still image; Photographic image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20021—Dividing image into blocks, subimages or windows
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20172—Image enhancement details
    • G06T2207/20192—Edge enhancement; Edge preservation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/06—Recognition 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
KR1020210025985A KR20210108338A (ko) 2020-02-25 2021-02-25 안과 렌즈의 에지 결함 및 다른 결함의 검출을 향상시키기 위한 컴퓨터 구현 프로세스
DE102021201767.3A DE102021201767A1 (de) 2020-02-25 2021-02-25 Computerimplementiertes Verfahren zur Verbesserung der Erkennung von Randdefekten und anderen Defekten in opthalmischen Linsen
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
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
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
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

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 (7)

Country Link
US (1) US11816824B2 (de)
JP (1) JP2021152886A (de)
KR (1) KR20210108338A (de)
CN (1) CN113376182A (de)
DE (1) DE102021201767A1 (de)
SG (1) SG10202001656VA (de)
TW (1) TWI847016B (de)

Families Citing this family (5)

* 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
US12051191B2 (en) * 2021-07-28 2024-07-30 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
KR20240095669A (ko) 2022-12-16 2024-06-26 부산대학교 산학협력단 딥러닝 모델을 이용한 냉연강판에서의 데이터 증대 시스템

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
NZ250042A (en) * 1992-12-21 1997-01-29 Johnson & Johnson Vision Prod Robotic inspection of ophthalmic lenses
TW201350838A (zh) * 2012-06-08 2013-12-16 Power Assist Instr Scient Corp 隱形眼鏡邊緣檢測裝置
US10262229B1 (en) * 2015-03-24 2019-04-16 Hrl Laboratories, Llc Wide-area salient object detection architecture for low power hardware platforms
EP3355104B2 (de) * 2017-01-27 2022-06-01 Carl Zeiss Vision International GmbH Verfahren und vorrichtung sowie computerprogramm zum ermitteln einer repräsentation eines brillenglasrands
US11501429B2 (en) * 2017-07-19 2022-11-15 Altius Institute For Biomedical Sciences Methods of analyzing microscopy images using machine learning

Also Published As

Publication number Publication date
CN113376182A (zh) 2021-09-10
TWI847016B (zh) 2024-07-01
DE102021201767A1 (de) 2021-08-26
US11816824B2 (en) 2023-11-14
KR20210108338A (ko) 2021-09-02
US20210264585A1 (en) 2021-08-26
JP2021152886A (ja) 2021-09-30
TW202202831A (zh) 2022-01-16

Similar Documents

Publication Publication Date Title
SG10202001656VA (en) A computer implemented process to enhance edge defect detection and other defects in ophthalmic lenses
WO2021143343A1 (zh) 一种产品质量检测方法及装置
TWI324326B (en) A mura defect detection algorithm for flat panel displays
CN109215026A (zh) 一种基于机器视觉的高速准确led缺陷检测方法
EP2131174A3 (de) Systeme und automatische Mehrfach-Bildgebungsprüfverfahren für feuchte ophthalmische Linsen
JP2011202991A (ja) 板ガラスの端部検査方法及び端部検査装置
WO2007023502A3 (en) Method and system for automatic defect detection of articles in visual inspection machines
JP2016507058A5 (de)
EP3811221A4 (de) Vorrichtung und verfahren zur erkennung von anomalien in einem datensatz und computerprogrammprodukt dafür
BR112014010593A8 (pt) Método para selecionar uma lente semiacabada em bruto que tem duas faces definidas para processamento em uma lente oftálmica acabada e método para produzir uma lente oftálmica
CN105321182B (zh) 一种手机玻璃面板的音孔缺陷检测方法及系统
CN103743757A (zh) 一种玻璃瓶内壁异物的检测装置及方法
CN107230200A (zh) 一种提取电机转子中线圈轮廓特征的方法
CN103091330A (zh) 模拟人类视觉感知机理的铜带表面缺陷辨识装置及方法
CN106153630A (zh) 晶片电阻检测装置
Li et al. The method for glass bottle defects detecting based on machine vision
CN114235847A (zh) 一种液晶面板玻璃基板表面缺陷检测装置及检测方法
TW201129853A (en) Photomask defect correction method, photomask defect correction apparatus, photomask defect correction head, photomask defect inspection apparatus, and method of manufacturing a photomask
CN108280825A (zh) 一种液晶显示屏边缘缺口检测方法
CN102305797A (zh) 机器视觉系统对医疗产品包装异物的自动检测方法
CN102495077A (zh) 机器视觉系统对输液瓶瓶身瑕疵的自动检测方法
JP2013140066A (ja) 太陽電池セルのクラック検査方法
Jian et al. A review of TFT-LCD panel defect detection methods
SG11202100618YA (en) Method and apparatus for optically inspecting a mold for manufacturing ophthalmic lenses for possible mold defects
CN105328533A (zh) 一种玻璃磨边机