CN105043722A - Reflector reflectivity measuring method - Google Patents
Reflector reflectivity measuring method Download PDFInfo
- Publication number
- CN105043722A CN105043722A CN201510447924.0A CN201510447924A CN105043722A CN 105043722 A CN105043722 A CN 105043722A CN 201510447924 A CN201510447924 A CN 201510447924A CN 105043722 A CN105043722 A CN 105043722A
- Authority
- CN
- China
- Prior art keywords
- image
- infrared
- constant temperature
- obtains
- reflectance
- 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
Links
Landscapes
- Radiation Pyrometers (AREA)
Abstract
The invention belongs to the field of machine vision and specifically relates to a reflector reflectivity measuring method. The measuring method comprises the steps of image acquisition, image preprocessing, noise interference removing, self-adaption segmentation and reflectivity calculating. The method is simple in structure, quick to measure, convenient to use and low in cost; by applying an image noise removing method, environment interference is reduced; and by applying the self-adaption threshold segmentation to obtain average value of the part to be measured, the measured value is accurate.
Description
Technical field
The invention belongs to field of machine vision, be specifically related to a kind of measuring method of reflectance of reflector.
Background technology
Method for measuring reflectance can be divided into the direct method of measurement and relative measurement method.The direct method of measurement, such as optical cavity ring-down technology, as document " Li Bincheng; Gong Yuan. optical cavity ring-down high reverse--bias measuring technique summary [J]. laser and photoelectron be in progresss; 2010; 47 (2): 27-37. " described in: by measurement single exponent ring-down signal matching obtains ring-down time, and then calculating reaches the reflectivity of chamber mirror or mirror to be measured.There is technical costs high, measuring accuracy is limited to beam quality and touches beat effect, and experimental provision is complicated, controls the defects such as complicated.
Visual pattern due to have relativity of information large, be convenient to understand, easily store and the advantage such as process, become the topmost Information Communication carrier of human society.Machine vision is a simulating human visually-perceptible process, and research uses computing machine to carry out image procossing with the subject replacing human eye and brain scenic focal point substance environment to carry out perception, explanation and understanding.In machine vision, panorama unroll reflexes to the object scene in level 360 ° of field ranges in video camera and carries out imaging, make video camera once take the scene image that can obtain much larger than the common camera visual field, be with a wide range of applications in various fields.Make a general survey of both at home and abroad, panorama unroll technology is one of study hotspot becoming computer vision field.
Summary of the invention
The object of the present invention is to provide a kind of measuring method reducing the reflectance of reflector of environmental interference.
The object of the present invention is achieved like this:
A measuring method for reflectance of reflector, comprises the steps:
(1) image acquisition:
Application infrared panorama vision system, uses science rank infrared camera shooting omnibearing imaging reflective mirror, directly obtains 360 degree of infrared scene images in visual angle of the persevering temperature-heat-source of panorama system paripheral zone;
(2) Image semantic classification:
Collect and obtain infrared panorama image and transfer to the computing machine with image processing software to carry out Image semantic classification to obtain gray-scale map;
(3) noise is removed:
According to the gray-scale map of step (2) gained, application gaussian filtering carries out image noise reduction process, removes environmental interference;
(4) adaptivenon-uniform sampling:
Application self-adapting threshold segmentation carries out Iamge Segmentation to the image that step (3) obtains, and obtains constant temp. heating source images part.
(5) computational reflect rate:
Ask for image software the average gray that step (4) splits the constant temp. heating source images obtained, the reflectivity that the mean value comparing calculation calculated obtains catoptron to be measured taken by the mean value obtained and known reflectivity catoptron.
Infrared panorama vision system in described step (1) in image acquisition, comprising: support, varifocal science rank infrared camera, omnibearing imaging reflective mirror, constant temperature thermal source and a system computer with infrared image processing program; Omnibearing imaging reflective mirror is hyperboloid reflective mirror, be supported on bracket base through the saturating infrared germanite glass support tube of annular, on bracket base in the saturating infrared germanite glass support tube of omnibearing imaging reflective mirror lower endless, be provided with varifocal Scientific Grade infrared camera, system computer is connected with science rank infrared camera, constant temperature thermal source is can set temperature value the thermal source of constant temp. warming, is positioned in infrared panorama vision system visual field.
The adaptivenon-uniform sampling of described step (4) comprises:
(1) drag mouse with square frame the selection tool and select constituency, selected boxed area comprises constant temperature thermal source, saves as image A;
(2) application self-adapting valve split plot design carries out Iamge Segmentation to image A, obtains black and white binary image, and wherein constant temperature thermal source is white, and environment division is black, saves as image B;
(3) with image B for masking-out, carry out AND-operation with image A, remove environment division, be partitioned into the constant temperature source part with original gray value in image A.
Described step (5) computational reflect rate comprises:
(1) ask for the average gray value of the constant temperature source part with original gray value that the 4th step obtains, be designated as a
1;
(2) with use known reflectivity be γ
0catoptron take the average gray value a of the constant temperature source part recorded
0compare calculating, obtaining reflectance of reflector to be measured is
The invention has the beneficial effects as follows: structure is simple, measure fast, easy to use, cost is low, and the method that application image removes noise decreases environmental interference, and application self-adapting threshold segmentation is asked for section average value to be measured and made measured value accurate.
Accompanying drawing explanation
Fig. 1 is the processing procedure block diagram of a kind of reflectance of reflector measuring method of the present invention.
Fig. 2 is the procedural block diagram that in the present invention, constant temperature thermal source is extracted in adaptive threshold segmentation.
Fig. 3 is the infrared panorama vision system that the present invention uses.
Fig. 4 is light path schematic diagram of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the invention will be further described.
The invention discloses a kind of measuring method of reflectance of reflector, comprise the steps such as image acquisition, Image semantic classification, removal noise, adaptivenon-uniform sampling, computational reflect rate.The scheme of machine vision and image procossing is adopted to carry out the measurement of catoptron reflective mirror, application infrared panorama system is taken constant temperature thermal source, the image being comprised of image process computer collected carries out carrying out gaussian filtering denoising after pre-service obtains gray-scale map and reduces environmental interference, application self-adapting threshold segmentation extracts constant temperature source part, calculates the constant temperature thermal source average gray that extracts and take with the catoptron of known reflecting rate to measure the constant temperature thermal source average gray obtained and carry out comparing calculation and obtain catoptron reflecting rate to be measured.The invention has the beneficial effects as follows: structure is simple, measure fast, easy to use, cost is low, the method removing noise in application image processing procedure decreases environmental interference, and in application image processing procedure, adaptive threshold segmentation is asked for section average value to be measured and made measured value accurate.
Described in above-mentioned background technology, there is various shortcoming in the direct method of measurement in reflectance of reflector measuring method, and relative measurement is simpler than the direct method of measurement in method and program, applied for machines vision of the present invention, with infrared panorama vision system whole reflective mirror all comprised and take in the picture, then use the means such as visual pattern process to achieve a kind of relative measurement method to measure reflectance of reflector.
The technical scheme that the present invention realizes goal of the invention employing is: the method adopting machine vision and image procossing, achieve a kind of relative measurement method of reflectance of reflector, application infrared panorama system is taken constant temperature thermal source, turn back and penetrate panorama system and whole catoptron all can be covered in image, the image being comprised of image process computer collected carries out carrying out gaussian filtering denoising after pre-service obtains gray-scale map and reduces environmental interference, application self-adapting threshold segmentation extracts constant temperature source part, concrete steps are: 1, drag mouse with square frame the selection tool and select constituency, selected boxed area comprises constant temperature thermal source, save as image A.2, apply large Tianjin self-adaptation valve split plot design and carry out Iamge Segmentation to image A, obtain black and white binary image, wherein constant temperature thermal source is white, and environment division is black, saves as image B.3, with image B for masking-out, carry out AND-operation with image A, remove environment division, be partitioned into the constant temperature source part with original gray value in image A.Calculate reflecting rate, concrete steps are: 1, ask for the average gray value of the constant temperature source part with original gray value that the 4th step obtains, are designated as a
1.2, be γ with use known reflectivity
0catoptron take the average gray value a of the constant temperature source part recorded
0compare calculating, obtaining reflectance of reflector to be measured is
The first step: use the infrared panorama vision system shown in Fig. 3 to carry out image acquisition.Wherein omnibearing imaging reflective mirror [1] the surface coating hyperboloid reflective mirror that is reflectivity to be measured, be supported on bracket base [3] through the saturating infrared germanite glass support tube [2] of annular, on bracket base [3] in the saturating infrared germanite glass support tube [2] of omnibearing imaging reflective mirror [1] lower endless, be provided with varifocal Scientific Grade infrared camera [4], system computer [5] is connected with science rank infrared camera [4], constant temperature thermal source [6] is can set temperature value the thermal source of constant temp. warming, be positioned in infrared panorama vision system visual field.
Second step, Image semantic classification:
The first step collects and obtains infrared panorama image and transfer to the computing machine with image processing software to carry out Image semantic classification to obtain gray-scale map.
3rd step, remove noise:
According to the gray-scale map of second step gained, application gaussian filtering carries out image noise reduction process, removes environmental interference.
4th step, adaptivenon-uniform sampling:
Apply the adaptive threshold segmentation of large Tianjin and Iamge Segmentation is carried out to the image that the 3rd step obtains, obtain constant temp. heating source images part.Specifically comprise following steps.
(1) drag mouse with square frame the selection tool and select constituency, selected boxed area comprises constant temperature thermal source, saves as image A.
(2) apply large Tianjin self-adaptation valve split plot design and carry out Iamge Segmentation to image A, obtain black and white binary image, wherein constant temperature thermal source is white, and environment division is black, saves as image B.
(3) with image B for masking-out, carry out AND-operation with image A, remove environment division, be partitioned into the constant temperature source part with original gray value in image A.
5th step, computational reflect rate:
The average gray that the 4th step splits the constant temp. heating source images obtained is asked for image software.The reflectivity that the mean value comparing calculation calculated obtains catoptron to be measured taken by the mean value obtained and known reflectivity catoptron.Specifically comprise following steps.
(1) ask for the average gray value of the constant temperature source part with original gray value that the 4th step obtains, be designated as a
1, a
1=189.41.
(2) with use known reflectivity be γ
0the average gray value a of the constant temperature source part recorded taken by the catoptron of=98.63%
0=193.26 compare calculating, obtain reflectance of reflector to be measured to be
Claims (4)
1. a measuring method for reflectance of reflector, is characterized in that, comprises the steps:
(1) image acquisition:
Application infrared panorama vision system, uses science rank infrared camera shooting omnibearing imaging reflective mirror, directly obtains 360 degree of infrared scene images in visual angle of the persevering temperature-heat-source of panorama system paripheral zone;
(2) Image semantic classification:
Collect and obtain infrared panorama image and transfer to the computing machine with image processing software to carry out Image semantic classification to obtain gray-scale map;
(3) noise is removed:
According to the gray-scale map of step (2) gained, application gaussian filtering carries out image noise reduction process, removes environmental interference;
(4) adaptivenon-uniform sampling:
Application self-adapting threshold segmentation carries out Iamge Segmentation to the image that step (3) obtains, and obtains constant temp. heating source images part.
(5) computational reflect rate:
Ask for image software the average gray that step (4) splits the constant temp. heating source images obtained, the reflectivity that the mean value comparing calculation calculated obtains catoptron to be measured taken by the mean value obtained and known reflectivity catoptron.
2. the measuring method of a kind of reflectance of reflector according to claim 1, it is characterized in that: the infrared panorama vision system in described step (1) in image acquisition, comprising: support, varifocal science rank infrared camera, omnibearing imaging reflective mirror, constant temperature thermal source and a system computer with infrared image processing program; Omnibearing imaging reflective mirror is hyperboloid reflective mirror, be supported on bracket base through the saturating infrared germanite glass support tube of annular, on bracket base in the saturating infrared germanite glass support tube of omnibearing imaging reflective mirror lower endless, be provided with varifocal Scientific Grade infrared camera, system computer is connected with science rank infrared camera, constant temperature thermal source is can set temperature value the thermal source of constant temp. warming, is positioned in infrared panorama vision system visual field.
3. the measuring method of a kind of reflectance of reflector according to claim 1, is characterized in that: the adaptivenon-uniform sampling of described step (4) comprises:
(1) drag mouse with square frame the selection tool and select constituency, selected boxed area comprises constant temperature thermal source, saves as image A;
(2) application self-adapting valve split plot design carries out Iamge Segmentation to image A, obtains black and white binary image, and wherein constant temperature thermal source is white, and environment division is black, saves as image B;
(3) with image B for masking-out, carry out AND-operation with image A, remove environment division, be partitioned into the constant temperature source part with original gray value in image A.
4. the measuring method of a kind of reflectance of reflector according to claim 1, is characterized in that: described step (5) computational reflect rate comprises:
(1) ask for the average gray value of the constant temperature source part with original gray value that the 4th step obtains, be designated as a
1;
(2) with use known reflectivity be γ
0catoptron take the average gray value a of the constant temperature source part recorded
0compare calculating, obtaining reflectance of reflector to be measured is
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510447924.0A CN105043722A (en) | 2015-07-28 | 2015-07-28 | Reflector reflectivity measuring method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510447924.0A CN105043722A (en) | 2015-07-28 | 2015-07-28 | Reflector reflectivity measuring method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105043722A true CN105043722A (en) | 2015-11-11 |
Family
ID=54450441
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510447924.0A Pending CN105043722A (en) | 2015-07-28 | 2015-07-28 | Reflector reflectivity measuring method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105043722A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105651494A (en) * | 2016-03-21 | 2016-06-08 | 北京航天时代光电科技有限公司 | Testing method for reflectivity of multimode optical fiber reflector |
| CN114862846A (en) * | 2022-07-04 | 2022-08-05 | 武汉精立电子技术有限公司 | Screening method, device, equipment and storage medium |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS6327707A (en) * | 1986-07-21 | 1988-02-05 | Matsushita Electric Ind Co Ltd | Apparatus for inspecting hyperbolic mirror |
| EP0353138A1 (en) * | 1988-07-26 | 1990-01-31 | Societe D'applications Generales D'electricite Et De Mecanique Sagem | Multispectral mirror device |
| US20050162650A1 (en) * | 2004-01-26 | 2005-07-28 | Takeshi Yamamoto | Spectroscope and measuring apparatus using the same |
| CN101256112A (en) * | 2008-04-12 | 2008-09-03 | 山西大学 | Method for rapid accurate determination of superelevation reflectance ratio eyeglass |
| CN101261182A (en) * | 2008-03-26 | 2008-09-10 | 中国科学院光电技术研究所 | High reflectivity measuring method based on frequency selective optical feedback cavity ring-down technology |
| US20090128823A1 (en) * | 2007-11-20 | 2009-05-21 | Industrial Technology Research Institute | Reflectance measuring apparatus |
| CN101794391A (en) * | 2010-03-18 | 2010-08-04 | 中国农业大学 | Greenhouse environment leading line extraction method |
| CN102914545A (en) * | 2012-11-15 | 2013-02-06 | 潍坊学院 | Gear defect detection method and system based on computer vision |
| CN103196837A (en) * | 2013-03-06 | 2013-07-10 | 中国人民银行印制科学技术研究所 | Image-type device and method for quantitative determination of infrared reflectivity and transmissivity |
| CN104123529A (en) * | 2013-04-25 | 2014-10-29 | 株式会社理光 | Human hand detection method and system thereof |
-
2015
- 2015-07-28 CN CN201510447924.0A patent/CN105043722A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS6327707A (en) * | 1986-07-21 | 1988-02-05 | Matsushita Electric Ind Co Ltd | Apparatus for inspecting hyperbolic mirror |
| EP0353138A1 (en) * | 1988-07-26 | 1990-01-31 | Societe D'applications Generales D'electricite Et De Mecanique Sagem | Multispectral mirror device |
| US20050162650A1 (en) * | 2004-01-26 | 2005-07-28 | Takeshi Yamamoto | Spectroscope and measuring apparatus using the same |
| US20090128823A1 (en) * | 2007-11-20 | 2009-05-21 | Industrial Technology Research Institute | Reflectance measuring apparatus |
| CN101261182A (en) * | 2008-03-26 | 2008-09-10 | 中国科学院光电技术研究所 | High reflectivity measuring method based on frequency selective optical feedback cavity ring-down technology |
| CN101256112A (en) * | 2008-04-12 | 2008-09-03 | 山西大学 | Method for rapid accurate determination of superelevation reflectance ratio eyeglass |
| CN101794391A (en) * | 2010-03-18 | 2010-08-04 | 中国农业大学 | Greenhouse environment leading line extraction method |
| CN102914545A (en) * | 2012-11-15 | 2013-02-06 | 潍坊学院 | Gear defect detection method and system based on computer vision |
| CN103196837A (en) * | 2013-03-06 | 2013-07-10 | 中国人民银行印制科学技术研究所 | Image-type device and method for quantitative determination of infrared reflectivity and transmissivity |
| CN104123529A (en) * | 2013-04-25 | 2014-10-29 | 株式会社理光 | Human hand detection method and system thereof |
Non-Patent Citations (3)
| Title |
|---|
| A.VOSS等: ""Simple high preciion method for measuring the specular reflectance of optical components"", 《APPLIED OPTICS》 * |
| 方金生: ""基于机器视觉的高反射率自由曲面缺陷检测技术的研究"", 《中国学位论文全文数据库》 * |
| 李斌成等: ""光腔衰荡高反射率测量技术综述"", 《激光与光电子学进展》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105651494A (en) * | 2016-03-21 | 2016-06-08 | 北京航天时代光电科技有限公司 | Testing method for reflectivity of multimode optical fiber reflector |
| CN105651494B (en) * | 2016-03-21 | 2017-11-28 | 北京航天时代光电科技有限公司 | A kind of method of testing of multimode fibre reflectance of reflector |
| CN114862846A (en) * | 2022-07-04 | 2022-08-05 | 武汉精立电子技术有限公司 | Screening method, device, equipment and storage medium |
| CN114862846B (en) * | 2022-07-04 | 2022-10-25 | 武汉精立电子技术有限公司 | Screening method, device, equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2018122809A1 (en) | Static infrared thermal image processing-based underground pipe leakage detection method | |
| Dong et al. | Robust circular marker localization under non-uniform illuminations based on homomorphic filtering | |
| CN103134900B (en) | Ablation test method of thermal protection structure of high supersonic velocity aircraft | |
| WO2016206004A1 (en) | Photographing device and method for acquiring depth information | |
| CN103217108B (en) | A kind of spectacle frame geometric parameter detection method | |
| CN108550160B (en) | Non-uniform light bar characteristic region extraction method based on light intensity template | |
| CN112883986B (en) | Static infrared target lamp identification method under complex background | |
| CN105029691B (en) | A kind of cigarette void-end detection method based on three-dimensional reconstruction | |
| CN109087395A (en) | A kind of method and system of three-dimensional reconstruction | |
| CN204039886U (en) | A kind of pavement damage crack detection system based on multiple stage camera stereoscopic shooting | |
| CN107833223B (en) | Fruit hyperspectral image segmentation method based on spectral information | |
| CN114187330A (en) | Structural micro-amplitude vibration working mode analysis method based on optical flow method | |
| CN108510544A (en) | A kind of striation localization method of feature based cluster | |
| CN105043722A (en) | Reflector reflectivity measuring method | |
| JP4771797B2 (en) | Distance measuring device and distance measuring method | |
| CN109443319A (en) | Barrier range-measurement system and its distance measuring method based on monocular vision | |
| CN117376717A (en) | Camera disturbance correction method and system | |
| JP3919722B2 (en) | Skin shape measuring method and skin shape measuring apparatus | |
| Zheng et al. | Underwater 3D target positioning by inhomogeneous illumination based on binocular stereo vision | |
| CN113033355B (en) | Abnormal target identification method and device based on intensive power transmission channel | |
| Spevakov et al. | Detecting objects moving in space from a mobile vision system | |
| CN205120611U (en) | Steel sheet surface defect detection system based on linear array camera | |
| CN115063524A (en) | Reconstruction method and device for 3D face recognition | |
| Liu et al. | Study on Volumetric tool wear measurement using image processing | |
| CN102095496A (en) | Method for measuring dynamic illumination distribution |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20151111 |
|
| WD01 | Invention patent application deemed withdrawn after publication |