CN107707793A - A kind of surface image acquisition methods for surface characteristics detection - Google Patents

A kind of surface image acquisition methods for surface characteristics detection Download PDF

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Publication number
CN107707793A
CN107707793A CN201710880861.7A CN201710880861A CN107707793A CN 107707793 A CN107707793 A CN 107707793A CN 201710880861 A CN201710880861 A CN 201710880861A CN 107707793 A CN107707793 A CN 107707793A
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CN
China
Prior art keywords
image acquisition
acquisition methods
camera
mirror
characteristics detection
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.)
Pending
Application number
CN201710880861.7A
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Chinese (zh)
Inventor
郑劲松
沈明学
谢林君
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.)
Zhejiang University of Technology ZJUT
Original Assignee
Zhejiang University of Technology ZJUT
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 Zhejiang University of Technology ZJUT filed Critical Zhejiang University of Technology ZJUT
Priority to CN201710880861.7A priority Critical patent/CN107707793A/en
Publication of CN107707793A publication Critical patent/CN107707793A/en
Pending legal-status Critical Current

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/50Constructional details
    • H04N23/55Optical parts specially adapted for electronic image sensors; Mounting thereof
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Studio Devices (AREA)

Abstract

A kind of surface image acquisition methods for surface characteristics detection, select camera camera and mirror surface, detected surface mirror-reflection is imaged onto the angle of a camera shooting, and the position of mirror surface is determined according to the principle, starts camera shooting detected surface image.The present invention provides the surface image acquisition methods that a kind of applicability is preferably used for surface characteristics detection.

Description

A kind of surface image acquisition methods for surface characteristics detection
Technical field
The present invention relates to a kind of image acquiring method, surface image acquisition methods are used in especially a kind of surface characteristics detection.
Background technology
As artificial intelligence and robot technology are in the extensive use of industry, agricultural and service industry, NI Vision Builder for Automated Inspection It is increasingly urgent come the demand for measuring and judging instead of artificial vision.The characteristics of NI Vision Builder for Automated Inspection be improve production flexibility and Automaticity, it is easy to accomplish information integration and computer integrated control.NI Vision Builder for Automated Inspection refers to pass through machine vision product Target object is converted into picture signal by (image-pickup device), is sent image processing system to and is carried out computing, and then passes through survey Amount is judged to control field apparatus to act.The image information for obtaining high quality is the basis of NI Vision Builder for Automated Inspection, obtains image It is related to the selection of digital camera and camera lens, light source selection and technique for taking.Under some occasions, camera does not have camera site, takes the photograph As head, directly to shoot detected surface relatively difficult.
The content of the invention
In order to overcome the shortcomings of some occasions of prior art can not directly be shot using camera, applicability it is poor, this hair A kind of bright surface image acquisition methods that applicability is provided and is preferably used for surface characteristics detection.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of surface image acquisition methods for surface characteristics detection, camera camera and mirror surface are selected, is detected The angle that surface specular reflections are imaged onto a camera shooting is surveyed, the position of mirror surface is determined according to the principle, startup is taken the photograph As head shooting detected surface image.
Further, the mirror surface has at least two, the corresponding detected surface of each mirror surface.
Preferably, the detected surface is located in the range of exposures of secondary light source.
The present invention technical concept be:Using mirror-reflection principle, by adjusting the angle of minute surface and measured surface, allow by Detection surface specular reflections are imaged onto the angle that a camera is easily shot.If desired multiple surfaces are shot, then are placed multiple Minute surface, by adjusting angle between minute surface and surface to be measured, allow multiple surfaces to be measured to be imaged onto a direction, realize shooting for the first time Shoot multiple tested surfaces.The more side walls of eight deformation tubes, a positive side can only be once shot with conventional method, can not once simultaneously Shoot 8, periphery side.Can be realized using this method can once shoot the multiple positive sides in periphery.
Beneficial effects of the present invention are mainly manifested in:Applicability is preferable, the occasion that can not be directly shot suitable for camera.
Embodiment
The invention will be further described below.
A kind of surface image acquisition methods for surface characteristics detection, camera camera and mirror surface are selected, is detected The angle that surface specular reflections are imaged onto a camera shooting is surveyed, the position of mirror surface is determined according to the principle, startup is taken the photograph As head shooting detected surface image.
Further, the mirror surface has at least two, the corresponding detected surface of each mirror surface.
Preferably, the detected surface is located in the range of exposures of secondary light source.
The present embodiment is to select digital camera and mirror from other angle shot object and surface using mirror-reflection principle Head, place suitable secondary light source, it is possible to absorb clearly digital image data.
Such as:Pasted and the suitable size level crossing in side to be captured, level crossing and side to be captured on conical wall Angle can adjust as needed, angle is 45 degree, mirror-reflection direction and pipe diameter parallel.Closed between minute surface and side Right position placement location suitable sources, side is adjusted in minute surface into untill clearly picture.

Claims (3)

  1. A kind of 1. surface image acquisition methods for surface characteristics detection, it is characterised in that:Select camera camera and reflection Minute surface, detected surface mirror-reflection are imaged onto the angle of a camera shooting, and the position of mirror surface is determined according to the principle Put, start camera shooting detected surface image.
  2. 2. the surface image acquisition methods for surface characteristics detection as claimed in claim 1, it is characterised in that:The reflection Minute surface has at least two, the corresponding detected surface of each mirror surface.
  3. 3. the surface image acquisition methods for surface characteristics detection as claimed in claim 1 or 2, it is characterised in that:It is described Detected surface is located in the range of exposures of secondary light source.
CN201710880861.7A 2017-09-26 2017-09-26 A kind of surface image acquisition methods for surface characteristics detection Pending CN107707793A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710880861.7A CN107707793A (en) 2017-09-26 2017-09-26 A kind of surface image acquisition methods for surface characteristics detection

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710880861.7A CN107707793A (en) 2017-09-26 2017-09-26 A kind of surface image acquisition methods for surface characteristics detection

Publications (1)

Publication Number Publication Date
CN107707793A true CN107707793A (en) 2018-02-16

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710880861.7A Pending CN107707793A (en) 2017-09-26 2017-09-26 A kind of surface image acquisition methods for surface characteristics detection

Country Status (1)

Country Link
CN (1) CN107707793A (en)

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH04148854A (en) * 1990-10-12 1992-05-21 Mitsubishi Electric Corp Surface-defect detecting apparatus
US20060050284A1 (en) * 2000-11-22 2006-03-09 Thomas Bertin-Mourot Mewthod and device for analysing the surface of a substrate
CN101453635A (en) * 2007-12-07 2009-06-10 天宇保科技有限公司 Automobile shooting and recording system
CN101504376A (en) * 2009-03-11 2009-08-12 张勇 Optical detection method and apparatus for spherical object surface
CN102184545A (en) * 2011-06-02 2011-09-14 浙江大学 Single-chart self-calibration method of catadioptric omnibearing camera mirror plane pose
CN202066798U (en) * 2011-06-13 2011-12-07 南通大学 Tow taint information collection device
CN104036640A (en) * 2014-05-16 2014-09-10 北京卓视智通科技有限责任公司 Panoramic image acquisition device and panoramic image acquisition method
CN104101603A (en) * 2013-04-12 2014-10-15 宝山钢铁股份有限公司 Device and method for detecting surface defect on strip steel
CN204241387U (en) * 2014-10-23 2015-04-01 北京凌云光技术有限责任公司 Image detects imaging device and image detecting apparatus
CN104914133A (en) * 2015-06-19 2015-09-16 合肥京东方光电科技有限公司 Friction defect detector

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH04148854A (en) * 1990-10-12 1992-05-21 Mitsubishi Electric Corp Surface-defect detecting apparatus
US20060050284A1 (en) * 2000-11-22 2006-03-09 Thomas Bertin-Mourot Mewthod and device for analysing the surface of a substrate
CN101453635A (en) * 2007-12-07 2009-06-10 天宇保科技有限公司 Automobile shooting and recording system
CN101504376A (en) * 2009-03-11 2009-08-12 张勇 Optical detection method and apparatus for spherical object surface
CN102184545A (en) * 2011-06-02 2011-09-14 浙江大学 Single-chart self-calibration method of catadioptric omnibearing camera mirror plane pose
CN202066798U (en) * 2011-06-13 2011-12-07 南通大学 Tow taint information collection device
CN104101603A (en) * 2013-04-12 2014-10-15 宝山钢铁股份有限公司 Device and method for detecting surface defect on strip steel
CN104036640A (en) * 2014-05-16 2014-09-10 北京卓视智通科技有限责任公司 Panoramic image acquisition device and panoramic image acquisition method
CN204241387U (en) * 2014-10-23 2015-04-01 北京凌云光技术有限责任公司 Image detects imaging device and image detecting apparatus
CN104914133A (en) * 2015-06-19 2015-09-16 合肥京东方光电科技有限公司 Friction defect detector

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Application publication date: 20180216

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