FR3087030B1 - Procede pour la caracterisation de fissures murales - Google Patents

Procede pour la caracterisation de fissures murales Download PDF

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Publication number
FR3087030B1
FR3087030B1 FR1859275A FR1859275A FR3087030B1 FR 3087030 B1 FR3087030 B1 FR 3087030B1 FR 1859275 A FR1859275 A FR 1859275A FR 1859275 A FR1859275 A FR 1859275A FR 3087030 B1 FR3087030 B1 FR 3087030B1
Authority
FR
France
Prior art keywords
characterization
wall cracks
digital
digital image
sets
Prior art date
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.)
Active
Application number
FR1859275A
Other languages
English (en)
Other versions
FR3087030A1 (fr
Inventor
Alain Tabatabai
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Determinant France
Original Assignee
Determinant France
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 Determinant France filed Critical Determinant France
Priority to FR1859275A priority Critical patent/FR3087030B1/fr
Priority to PCT/FR2019/052380 priority patent/WO2020074822A1/fr
Publication of FR3087030A1 publication Critical patent/FR3087030A1/fr
Application granted granted Critical
Publication of FR3087030B1 publication Critical patent/FR3087030B1/fr
Active legal-status Critical Current
Anticipated expiration legal-status Critical

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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
    • 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
    • G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • 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
    • G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G01N2021/8854—Grading and classifying of flaws
    • G01N2021/8874—Taking dimensions of defect into account
    • 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
    • G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
    • 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
    • G06T2207/30132—Masonry; Concrete

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biochemistry (AREA)
  • Immunology (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Pathology (AREA)
  • Geometry (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Image Analysis (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Image Processing (AREA)

Abstract

L'invention concerne un procédé pour la caractérisation de fissures murales comprenant au moins une étape d'acquisition d'une image numérique et de traitement de ladite image numérique pour extraire des ensembles numériques de pixels associés à une fissure, caractérisé en ce qu'il comporte en outre une étape de classification desdits ensembles numériques en fonction de l'appartenance à une classe d'angle.
FR1859275A 2018-10-08 2018-10-08 Procede pour la caracterisation de fissures murales Active FR3087030B1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
FR1859275A FR3087030B1 (fr) 2018-10-08 2018-10-08 Procede pour la caracterisation de fissures murales
PCT/FR2019/052380 WO2020074822A1 (fr) 2018-10-08 2019-10-08 Procede pour la caracterisation de fissures murales

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
FR1859275A FR3087030B1 (fr) 2018-10-08 2018-10-08 Procede pour la caracterisation de fissures murales

Publications (2)

Publication Number Publication Date
FR3087030A1 FR3087030A1 (fr) 2020-04-10
FR3087030B1 true FR3087030B1 (fr) 2021-07-09

Family

ID=65244161

Family Applications (1)

Application Number Title Priority Date Filing Date
FR1859275A Active FR3087030B1 (fr) 2018-10-08 2018-10-08 Procede pour la caracterisation de fissures murales

Country Status (2)

Country Link
FR (1) FR3087030B1 (fr)
WO (1) WO2020074822A1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112666167B (zh) * 2020-12-22 2022-12-13 成都圭目机器人有限公司 一种评估水泥混凝土道面裂缝产生fod风险的方法和装置

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW201418662A (zh) 2012-11-15 2014-05-16 Nat Applied Res Laboratories 遠距離量測裂縫之方法及其裝置
CN104568981A (zh) 2015-01-06 2015-04-29 中科华核电技术研究院有限公司北京分公司 基于图像的建筑物墙壁缺陷测量方法及其***
CN105910540B (zh) 2016-06-23 2018-06-15 吴江市建设工程质量检测中心有限公司 一种用于现场检测建筑墙体裂缝的方法
CN106651893A (zh) 2016-12-23 2017-05-10 贵州电网有限责任公司电力科学研究院 一种基于边缘检测的墙体裂缝识别方法

Also Published As

Publication number Publication date
WO2020074822A1 (fr) 2020-04-16
FR3087030A1 (fr) 2020-04-10

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