WO2019075661A1 - 基于亚像素角点识别的试样表面变形数字图像测量装置及方法 - Google Patents

基于亚像素角点识别的试样表面变形数字图像测量装置及方法 Download PDF

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WO2019075661A1
WO2019075661A1 PCT/CN2017/106693 CN2017106693W WO2019075661A1 WO 2019075661 A1 WO2019075661 A1 WO 2019075661A1 CN 2017106693 W CN2017106693 W CN 2017106693W WO 2019075661 A1 WO2019075661 A1 WO 2019075661A1
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specimen
deformation
sub
digital image
measurement
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PCT/CN2017/106693
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English (en)
French (fr)
Inventor
邵龙潭
郭晓霞
刘永禄
黄川�
吴铭明
李希成
夏平心
鞠鹏
刘潇
王春
薛杰
王颖
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苏州汇才土水工程科技有限公司
大连理工大学
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Priority to PCT/CN2017/106693 priority Critical patent/WO2019075661A1/zh
Priority to US16/648,177 priority patent/US11119016B2/en
Publication of WO2019075661A1 publication Critical patent/WO2019075661A1/zh

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/02—Details
    • G01N3/06—Special adaptations of indicating or recording means
    • G01N3/068—Special adaptations of indicating or recording means with optical indicating or recording means
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/08—Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/50—Depth or shape recovery
    • G06T7/55—Depth or shape recovery from multiple images
    • G06T7/579—Depth or shape recovery from multiple images from motion
    • 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
    • G06T7/68—Analysis of geometric attributes of symmetry
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/50—Constructional details
    • H04N23/55—Optical parts specially adapted for electronic image sensors; Mounting thereof
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/02—Details not specific for a particular testing method
    • G01N2203/06—Indicating or recording means; Sensing means
    • G01N2203/0641—Indicating or recording means; Sensing means using optical, X-ray, ultraviolet, infrared or similar detectors
    • G01N2203/0647—Image analysis
    • 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
    • G06T2207/10141—Special mode during image acquisition
    • G06T2207/10148—Varying focus
    • 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
    • G06T2207/30172—Centreline of tubular or elongated structure

Definitions

  • the invention belongs to the technical field of digital image measurement and geotechnical engineering, and relates to a sample surface digital image measuring device and method based on sub-pixel corner point recognition.
  • Deformation measurement of specimens is one of the most important contents in experimental mechanics and an important part of geotechnical experiments.
  • Conventional sample deformation measurement uses strain gauges, Hall effect sensors, local deformation measurement sensors, eddy current sensors and other measurement methods. These methods have the following disadvantages: (1) average measurement, (2) contact measurement, (3) The measurement accuracy is not high or the measurement points are small. At the same time, the overall deformation image of the sample cannot be obtained, and the strain field at any point of the sample is not obtained. It is difficult to study the local deformation characteristics of the sample; and, for the measurement environment under some special conditions, the measurement is performed. There are higher requirements for the means, such as measuring the deformation of a soil sample in a water pressure vessel.
  • optical measurement (hereinafter referred to as optical measurement) method is the most widely used.
  • Optical measurement has many advantages such as non-contact, fast response, high precision, wide range, automation, etc., and has been widely used in many fields.
  • Optical measurement technology is divided into interference optical measurement and non-interference optical measurement.
  • Interferometric optical measurement techniques such as holographic interference, speckle interference, moiré interference, etc.
  • non-interferometric optical measurement techniques such as geometric moiré techniques, and digital image measurement techniques
  • digital image measurement techniques are highly adaptable to the measurement environment and simple to operate And other characteristics have been rapidly developed.
  • the application of optical measurement technology in the study of material deformation characteristics has promoted the research process of people to explore the mechanical properties and behavior of materials.
  • the measurement of volumetric deformation and radial deformation of unsaturated soil samples has always been a problem, and digital image measurement methods provide an effective means.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biochemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Multimedia (AREA)
  • Geometry (AREA)
  • Signal Processing (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)

Abstract

一种基于亚像素角点识别的试样表面变形数字图像测量装置包括：图测压力室、CMOS工业相机、相机支架（15）、柔性遮光罩（14）以及计算机和配套的测量软件。还提供了一种基于亚像素角点识别的试样表面变形数字图像测量方法，该方法通过试样（4）上印制的方格，将试样（4）离散成若干个四节点有限单元，网格的角点作为有限单元的节点，基于亚像素的边缘检测和角点识别，实时跟踪特征点的变形，通过试样（4）后方的两面成120︒的平面镜（3）来捕获试样（4）的全表面变形信息，将三幅图像进行拼接和误差修正，实现全表面的变形观测。该装置简单、成本低，精度高，能实时测量并跟踪特征点的变形，得到全表面的变形场和应变场。

Description

基于亚像素角点识别的试样表面变形数字图像测量装置及方法 技术领域
本发明属于数字图像测量和岩土工程试验技术领域，涉及一种基于亚像素角点识别的试样表面数字图像测量装置及方法。
背景技术
试样变形测量是实验力学中最重要的内容之一，也是岩土工程试验的重要内容。传统的试样变形测量多采用应变计、霍尔效应传感器、局部变形测量传感器、电涡流传感器等测量方法，这些方法有以下缺点：(1)平均测量，(2)接触式测量，(3)测量精度不高或是测点较少。同时，都不能得到试样的整体变形图像，也得不到试样局部任意点变形的应变场，难以实现对试样局部变形特性进行研究；并且，对于有些特殊条件下的测量环境，对测量手段会有更高的要求，比如测量一个土试样在有水压力容器内的变形，采用传统的测量方法会干扰试样，且在水下有压力的环境内操作很麻烦。因此在传统的测量基础上后续发展的现代测量技术中，光学测量(下简称光测)方法应用最广。
光测具有非接触、响应快、精度高、范围宽、自动化等众多优点，现已广泛应用于众多领域。光测技术分为干涉光学测量和非干涉光学测量。干涉光学测量技术如全息干涉、散斑干涉、云纹干涉等；非干涉光学测量技术如几何云纹技术、以及数字图像测量技术；其中数字图像测量技术因其对测量环境适用性强、操作简单等特点得到快速发展。光学测量技术在材料变形特性研究方面的应用，推动了人们探知材料力学性质和行为的研究进程。在岩土工程试验领域，非饱和土样的体积变形和径向变形测量一直是一个难题，数字图像测量方法提供了一种有效的手段。
发明内容

Claims (1)

  1. Figure PCTCN2017106693-appb-100001
PCT/CN2017/106693 2017-10-18 2017-10-18 基于亚像素角点识别的试样表面变形数字图像测量装置及方法 WO2019075661A1 (zh)

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US16/648,177 US11119016B2 (en) 2017-10-18 2017-10-18 Image measurement device and method for the surface deformation of specimen based on sub-pixel corner detection

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CN113074650A (zh) * 2021-03-25 2021-07-06 江苏省特种设备安全监督检验研究院 一种对真空绝热深冷压力容器的接管应变强化监测的方法
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CN113487594B (zh) * 2021-07-22 2023-12-01 上海嘉奥信息科技发展有限公司 一种基于深度学习的亚像素角点检测方法、***及介质
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CN115308247B (zh) * 2022-10-11 2022-12-16 江苏昭华精密铸造科技有限公司 一种氧化铝粉体除渣质量检测方法
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