CN110332894A - A kind of untouchable measurement method of dam surface displacement based on binocular vision - Google Patents

A kind of untouchable measurement method of dam surface displacement based on binocular vision Download PDF

Info

Publication number
CN110332894A
CN110332894A CN201910621204.XA CN201910621204A CN110332894A CN 110332894 A CN110332894 A CN 110332894A CN 201910621204 A CN201910621204 A CN 201910621204A CN 110332894 A CN110332894 A CN 110332894A
Authority
CN
China
Prior art keywords
image
signage
camera
dam
dam surface
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
CN201910621204.XA
Other languages
Chinese (zh)
Inventor
杨越
桑贤侦
杨帅盟
侯显赫
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.)
China University of Geosciences
Original Assignee
China University of Geosciences
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 China University of Geosciences filed Critical China University of Geosciences
Priority to CN201910621204.XA priority Critical patent/CN110332894A/en
Publication of CN110332894A publication Critical patent/CN110332894A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/002Measuring arrangements characterised by the use of optical techniques for measuring two or more coordinates
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/02Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
    • G01B11/03Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by measuring coordinates of points
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/16Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge

Abstract

The invention discloses a kind of, and the dam surface based on binocular vision is displaced untouchable measurement method, belongs to dam surface displacement monitoring field, is related to some Digital Image Processing.This method mainly utilizes binocular vision 3 D measurement technology, and artificial target's body is arranged in dam surface first;Next dam surface image is acquired using binocular camera;Then such as using image processing method: image gray processing, image enhancement, median filtering, image segmentation, edge detection and least square ellipse fitting algorithm;The transformational relation that binocular camera is demarcated between inside and outside parameter and two camera coordinates systems is obtained by Zhang Zhengyou calibration method again;Dam surface signage 3 d space coordinate finally is obtained using binocular camera three-dimensional measurement principle, the space coordinate using same signage in different moments acquires dam surface displacement indirectly.For the present invention by binocular vision 3 D measurement technical application to dam surface displacement measurement, this method has many advantages, such as that at low cost, measurement accuracy is higher.

Description

A kind of untouchable measurement method of dam surface displacement based on binocular vision
Technical field
The present invention relates to measurement method technical field, specially a kind of dam surface displacement based on binocular vision is non-contact Property measurement method.
Background technique
In order to adjust water resource assignment unevenness, reasonably optimizing water resource space-time is configured, up to the present, the built dykes and dams in China About 8.7 ten thousand, become qualified Ba Gong big country, these dams play a significant role in economic construction and social development. However, some dams due to construction technology, topography and geomorphology, climatic factor and dam Years Of Service etc., occur to burst Dam accident causes serious life and property loss to society and the people.Therefore reservoir dam safety and people, which live, ceases manner of breathing It closes, dam safety monitoring can reflect the operating status of dam in real time, have safely to protection the people's lives and property important Meaning.
Dam safety monitoring mainly analyzes the safety of dam in conjunction with Conventional wisdom by the measurement being displaced to dam body Operating status.Currently, common dam body displacement measurement method has contact measurement method and contactless measurement.It connects Touch measurement method needs for sensor to be placed in dam body, and to the more demanding of sensor element, and later maintenance is not easy reality It applies, therefore is not used widely.Contactless measurement mainly has geodesic method, GPS technology mensuration, synthesis hole Diameter Radar Technology (InSAR) mensuration etc..Wherein geodesic method is a kind of traditional measurement method, when in a certain number of observations When point, available high-precision measurement result, but be difficult to meet real-time dynamic monitoring objective, while also needing to expend a large amount of Man power and material.GPS technology mensuration can obtain high-precision observation data, realization dynamically carries out data transmission in real time, Processing, management, analysis and forecast, and promotion and application are obtained in more and more deformation monitoring projects, this method is still only It is confined to single-point monitoring, only considered monitoring point and its neighbouring limited range, is not accounted between each monitoring point and big The deformation and trend of dam entire scope.Synthetic aperture radar technique (InSAR) is recently using more.Wherein spaceborne InSAR Monitoring is substantially more expensive, and the observation cycle time is long;Airborne InSAR monitoring needs carry out dam body by aircraft etc. periodic Monitoring, operation is more more complicated, cannot achieve the purpose that Monitor in time;Ground InSAR monitoring method observation time is shorter, Much smaller than a few days or a few weeks of spaceborne InSAR, the arrangement of instrument and equipment is limited by dam field environmental condition.
Binocular vision 3 D measurement technology positions close-in target device, dimensional measurement has preferable measurement accuracy. In recent years, lot of domestic and international scholar also starts the technical method being applied to field of civil engineering, such as landslide displacement monitoring, dew The monitoring of its mining area edge dislocation and highway bridge monitoring etc..
Summary of the invention
The purpose of the present invention is to provide a kind of, and the dam surface based on binocular vision is displaced untouchable measurement method, with Solve the problems mentioned above in the background art.
To achieve the above object, the invention provides the following technical scheme: fixed artificial target is arranged in dam surface first Body;Next dam surface image is acquired using binocular camera;Then such as using image processing method: image gray processing, image Enhancing, median filtering, image segmentation, edge detection and least square ellipse fitting algorithm etc.;Pass through Zhang Zhengyou calibration method again Obtain the transformational relation between binocular camera calibration inside and outside parameter and two camera coordinates systems;Finally utilize binocular camera three-dimensional measurement Principle obtains dam surface signage 3 d space coordinate, and the space coordinate using same signage in different moments acquires mark Body displacement, and then dam surface displacement is obtained, to realize the purpose of dam displacement measurement monitoring.Wherein main packet Include dam body Image Acquisition part, dam body image preprocessing part, dam body logos body extraction position portion, camera calibration portion Divide, three-dimensional measurement part composition.
It includes: artificial setting identifying body, model identical two industrial cameras, A-frame, numbers that dam body image acquisition part, which is divided to, According to transmission cable, power supply, laptop.In the fixed identifying body being manually arranged of dam surface, two industrial cameras composition Binocular camera is connected to laptop, by collected dam body image transmitting to laptop.Laptop uses Matlab software, provides human-computer interaction interface, receives binocular camera acquired image and preserves, and is used for post-processing. Power supply uses high capacity polymer lithium battery, and stable power supply is provided for binocular camera.
Dam body image preprocessing section point includes: to carry out image gray processing, image enhancement, image to the dam body image of acquisition It makes an uproar processing operation.Image gray processing can reduce image occupied space under the conditions of not losing image main information, increase the later period Image processing speed.Image enhancement keeps the main information in image more prominent.Image denoising processing is for removing the height in image This noise and salt-pepper noise obtain clear target image, are convenient for later image processing operation.
It includes: to pass through image segmentation, mathematics shape to after dam body image preprocessing that dam body logos body, which extracts position portion, State operation, edge detection and least square ellipse fitting algorithm carry out pixel coordinate positioning to dam body logos body.Image Segmentation comes out background in image with Target Segmentation, calculates different target region area size, extracts the signage in image Surface area.Mathematical morphology operation keeps the signage edges of regions extracted rounder and more smooth.Edge detection is for detecting image In each signage edge.Least square ellipse fitting algorithm is marked by the method for least square combination ellipse fitting The central point pixel coordinate of will body, the i.e. coordinate setting of complement mark volumetric pixel.Simultaneously to signage in figure according to certain sequence into Row number.
Camera calibration part includes: left and right camera calibration, stereo calibration.Left and right camera calibration mainly passes through calibration and obtains The transformational relation of image pixel coordinates and 3 d space coordinate obtains the inside and outside parameter of camera.Stereo calibration mainly obtains Transformational relation between the camera coordinates system of left and right, i.e. translation matrix and spin matrix.
Three-dimensional measurement part includes: the universal model of binocular camera three-dimensional measurement.Left and right figure is obtained in dam body image procossing Indicate that volumetric pixel coordinate, camera calibration obtain between left and right camera inside and outside parameter and camera coordinates system after transformational relation as in.It can To obtain the 3 d space coordinate of signage using the three-dimensional measurement principle of binocular camera.According to same signage in different moments Space coordinate can find out signage displacement, and then obtain dam surface displacement.
The dam surface that the present invention provides a kind of based on binocular vision is displaced untouchable measurement method, and having following has Beneficial effect:
(1) real-time measurement of dam body surface displacement may be implemented in the present invention, mostly compared to traditional measurement method Periodic measurement is carried out according to certain period of time, this method has better timeliness.
(2) after the present invention only needs signage being fixed on dam surface, so that it may realize remote monitor, untouchable Measurement, operates with more convenient.
(3) grade measurement accuracy may be implemented in measurement method of the present invention, and cost is relatively low needed for this method, Ke Yijie Save more human and material resources.
Detailed description of the invention
Fig. 1 is implementation flow chart of the invention;
Fig. 2 is dam body image preprocessing flow chart of the present invention;
Fig. 3 is that dam body logos body of the present invention extracts positioning flow figure;
Fig. 4 is three-dimensional measurement technical schematic diagram of the present invention;
Fig. 5 is three-dimensional measurement process flow diagram flow chart of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
As shown in Figs. 1-5 it is the implementation flow chart of this method, specific step is as follows for method:
(1) two identical domestic 2,000,000 pixel of Daheng (1628x1236) kilomega network industrial cameras of preparation, two 100mm focal length lens, camera trivets one, laptop, data transmission network line etc..Connect into a binocular camera Measuring system, in the fixed signage manually set in the dam surface position of simulation.Here it uses and prints circular indicia body On white paper.Computer matlab software is opened, two cameras of adjustment to signage region distance are 40m, are set between two cameras Distance be 0.35m, so that the collected dam body image of two cameras is contained signage.Using high capacity polymer lithium battery to two Camera power supply.
(2) image preprocessing process is carried out to collected dam body image, as shown in Figure 2.Mean value method is to dam body first Image carries out gray processing processing, then carries out enhancing processing to dam body image with histogram equalization method, makes to indicate body region more It is prominent, denoising then is carried out to dam body image with median filter method, remove in image Gaussian noise that may be present with Salt-pepper noise.
(3) pixel coordinate positioning is extracted to the signage in dam body image, process is as shown in Figure 3.First with the overall situation Threshold value Otsu method carries out image segmentation, background in image and target area is separated, while different target is divided into different zones, Mark body region is extracted by region area size, then keeps signage edge smoother using mathematical morphology closed operation, Detect signage edge with Canny edge detection operator, later with least square ellipse fitting algorithm to signage edge into Row ellipse fitting obtains signage central point pixel coordinate.Simultaneously to the signage in image according to first from top to bottom, then from Left-to-right serial number, and successively sequence exports its signage central point pixel coordinate.
(4) left and right camera is demarcated, makes the scaling board of the identical square composition 12 × 9 of chequered with black and white size, Index point areas adjacent is placed it in, keeps two camera distance and positions constant, only changes scaling board direction, acquires 12 groups of photographs Piece.Calibration experiment is carried out with Zhang Zhengyou calibration algorithm, obtains left and right camera intrinsic parameter, while left and right phase is obtained by stereo calibration Transformational relation between machine.
When dam body logos body positions output pixel coordinate, pixel coordinate is sequentially output according to the specified sequence of signage 's.Therefore mark volumetric pixel coordinate is to be corresponding in turn to relationship in the left and right camera image of output, meets left images sequence consensus Property matching method.At this point, obtaining mark volumetric pixel coordinate and camera calibration parameter in left images, surveyed in conjunction with binocular vision 3 D Principle is measured, as shown in figure 4, can be in the hope of the 3 d space coordinate of these signages, then according to same signage when different Space coordinate is carved, finds out signage displacement, and then obtain dam surface displacement, and the results are shown in human-computer interactions Interface.Its process is as shown in Figure 5.
More than, it is merely preferred embodiments of the present invention, but scope of protection of the present invention is not limited thereto, it is any Those familiar with the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its invents Design is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.

Claims (7)

1. a kind of dam surface based on binocular vision is displaced untouchable measurement method, which is characterized in that including dam body image Collecting part, dam body image preprocessing part, dam body logos body extract position portion, camera calibration part, three-dimensional measurement Part, in which:
It includes: artificial setting identifying body, identical two industrial cameras of model, A-frame, data biography that dam body image acquisition part, which is divided to, Defeated cable, power supply, laptop.In the fixed identifying body being manually arranged of dam surface, two industrial cameras form binocular Camera is connected to laptop, by collected dam body image transmitting to laptop.Laptop uses matlab Software provides human-computer interaction interface, receives binocular camera acquired image and preserves, and is convenient for subsequent processing.Power supply electricity Source uses high capacity polymer lithium battery, and stable power supply is provided for binocular camera.
Dam body image preprocessing section point includes: to carry out image gray processing, image enhancement, at image denoising to the dam body image of acquisition Reason operation.Image gray processing can reduce image occupied space under the conditions of not losing image main information, increase later image Processing speed.Image enhancement keeps the main information in image more prominent.Gauss of the image denoising processing for removing in image makes an uproar Sound and salt-pepper noise obtain clear target image, are convenient for later image processing operation.
It includes: to pass through image segmentation, mathematical morphology to after dam body image preprocessing that dam body logos body, which extracts position portion, Operation, edge detection and least square ellipse fitting algorithm carry out pixel coordinate positioning to dam body logos body.Image segmentation Background in image is come out with Target Segmentation, different target region area size is calculated, extracts the mark bulk area in image Region.Mathematical morphology operation keeps the signage edges of regions extracted rounder and more smooth.Edge detection is each in image for detecting The edge of a signage.Least square ellipse fitting algorithm is to obtain signage by the method for least square combination ellipse fitting Central point pixel coordinate, i.e. complement mark volumetric pixel coordinate setting.Signage in figure is compiled according to certain sequence simultaneously Number.
Camera calibration part includes: left and right camera calibration, stereo calibration.Left and right camera calibration mainly passes through calibration and obtains image The transformational relation of pixel coordinate and 3 d space coordinate obtains the inside and outside parameter of camera.Stereo calibration is mainly controlled Transformational relation between camera coordinates system, i.e. translation matrix and spin matrix.
Three-dimensional measurement part includes: the universal model of binocular camera three-dimensional measurement.It is obtained in left images in dam body image procossing Signage pixel coordinate, camera calibration obtain between left and right camera inside and outside parameter and two camera coordinates systems after transformational relation.It can be with The 3 d space coordinate of signage is obtained using the three-dimensional measurement principle of binocular camera.According to same signage in different moments sky Between coordinate, signage displacement can be found out, and then obtain dam surface displacement.
2. a kind of dam surface based on binocular vision according to claim 1 is displaced untouchable measurement method, special Sign is that setting artificial target's body, artificial target's body is designed as circle, and circle marker body is ok from the point of view of from different directions Regard ellipse as, is positioned convenient for later period signage.Color uses black, highlights from ambient enviroment convenient for signage. Signage is placed on white material simultaneously, and purpose makes signage avoid being sticked together with ambient enviroment in extraction.
3. a kind of dam surface based on binocular vision according to claim 1 is displaced untouchable measurement method, special Sign is that the matlab acquisition software is built human-computer interaction interface using matlab software on laptop, passed through The interface can acquire dam body image in real time, while can carry out processing operation to the image of acquisition, obtain signage in image Space coordinate, and then show dam surface displacement.
4. a kind of dam surface based on binocular vision according to claim 1 is displaced untouchable measurement method, special Sign is that dam body image preprocessing part obtains its gray level image using mean value method to the dam body image of acquisition, uses Histogram equalization method carries out enhancing processing to image, removes Gaussian noise and salt-pepper noise in image with median filtering method, Obtain clearly dam body image.
5. a kind of dam surface based on binocular vision according to claim 1 is displaced untouchable measurement method, special Sign is that described image signage extracts position portion, which carries out image segmentation using global threshold Otsu method, by image Middle background and target area separate, while different target is divided into different zones, extract signage by region area size Region, keeps signage edge smoother using mathematical morphology closed operation, detects signage side with Canny edge detection operator Edge carries out ellipse fitting to signage edge with least square ellipse fitting algorithm, obtains the higher signage central point of precision Pixel coordinate.Simultaneously to the signage in image according to first from top to bottom, then sequence from left to right carries out number consecutively, most The successively pixel coordinate of these signages of Sequential output afterwards.
6. a kind of dam surface based on binocular vision according to claim 1 is displaced untouchable measurement method, special Sign is that the camera calibration part, the part carries out calibration to camera using Zhang Zhengyou calibration method and obtains camera inside and outside parameter, Zhang Zhengyou proving operation is simple and convenient, while stated accuracy is higher;Stereo calibration utilizes left and right camera inside and outside parameter, is controlled Transformational relation between camera coordinates system.
7. a kind of dam surface based on binocular vision according to claim 1 is displaced untouchable measurement method, special Sign is that the three-dimensional measurement part, the part uses the universal model of binocular vision 3 D measurement, three-dimensional measurement under the model The optical axis for not needing two cameras is parallel, is placed with bigger selection space to binocular camera.In conjunction with the signage or so of acquisition Camera pixel coordinate and camera calibration parameter, can obtain the three dimensional space coordinate of signage.
CN201910621204.XA 2019-07-10 2019-07-10 A kind of untouchable measurement method of dam surface displacement based on binocular vision Pending CN110332894A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910621204.XA CN110332894A (en) 2019-07-10 2019-07-10 A kind of untouchable measurement method of dam surface displacement based on binocular vision

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910621204.XA CN110332894A (en) 2019-07-10 2019-07-10 A kind of untouchable measurement method of dam surface displacement based on binocular vision

Publications (1)

Publication Number Publication Date
CN110332894A true CN110332894A (en) 2019-10-15

Family

ID=68145955

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910621204.XA Pending CN110332894A (en) 2019-07-10 2019-07-10 A kind of untouchable measurement method of dam surface displacement based on binocular vision

Country Status (1)

Country Link
CN (1) CN110332894A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111076664A (en) * 2019-12-27 2020-04-28 大连华锐重工集团股份有限公司 Non-contact type self-baking electrode pressing and releasing quantity measuring system and method
CN111811421A (en) * 2020-07-17 2020-10-23 中国人民解放军国防科技大学 High-speed real-time deformation monitoring method and system
CN111896949A (en) * 2020-07-15 2020-11-06 河海大学 Dynamic monitoring system and monitoring method for valley amplitude deformation of high arch dam
CN113567451A (en) * 2021-07-23 2021-10-29 江苏电力信息技术有限公司 Cable defect detection and diameter measurement method
CN114333243A (en) * 2021-12-21 2022-04-12 长江三峡勘测研究院有限公司(武汉) Landslide monitoring and early warning method, device, medium, electronic equipment and terminal
CN116091488A (en) * 2023-03-07 2023-05-09 西安航天动力研究所 Displacement testing method and displacement testing system for engine swing test

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101311963A (en) * 2008-06-17 2008-11-26 东南大学 Round mark point center picture projection point position acquiring method for positioning video camera
CN102538694A (en) * 2012-02-14 2012-07-04 霍海清 Method and device for monitoring deformation of base point of dam abutment
CN103323229A (en) * 2013-07-08 2013-09-25 重庆工业职业技术学院 Rotation axis error detection method of five-axis numerical control machine tool based on machine vision
CN104574312A (en) * 2015-01-06 2015-04-29 深圳市元征软件开发有限公司 Method and device of calculating center of circle for target image
US20170134722A1 (en) * 2013-05-21 2017-05-11 Magna Electronics Inc. Vehicle vision system with targetless camera calibration
CN106875441A (en) * 2016-12-20 2017-06-20 浙江工业大学 A kind of online PE bottles of recognition positioning method based on machine vision

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101311963A (en) * 2008-06-17 2008-11-26 东南大学 Round mark point center picture projection point position acquiring method for positioning video camera
CN102538694A (en) * 2012-02-14 2012-07-04 霍海清 Method and device for monitoring deformation of base point of dam abutment
US20170134722A1 (en) * 2013-05-21 2017-05-11 Magna Electronics Inc. Vehicle vision system with targetless camera calibration
CN103323229A (en) * 2013-07-08 2013-09-25 重庆工业职业技术学院 Rotation axis error detection method of five-axis numerical control machine tool based on machine vision
CN104574312A (en) * 2015-01-06 2015-04-29 深圳市元征软件开发有限公司 Method and device of calculating center of circle for target image
CN106875441A (en) * 2016-12-20 2017-06-20 浙江工业大学 A kind of online PE bottles of recognition positioning method based on machine vision

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
罗奕: "基于双目立体视觉的坝体形变测量方法", 《电子测试》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111076664A (en) * 2019-12-27 2020-04-28 大连华锐重工集团股份有限公司 Non-contact type self-baking electrode pressing and releasing quantity measuring system and method
CN111896949A (en) * 2020-07-15 2020-11-06 河海大学 Dynamic monitoring system and monitoring method for valley amplitude deformation of high arch dam
CN111896949B (en) * 2020-07-15 2024-02-27 河海大学 Dynamic monitoring system and monitoring method for valley amplitude deformation of high arch dam
CN111811421A (en) * 2020-07-17 2020-10-23 中国人民解放军国防科技大学 High-speed real-time deformation monitoring method and system
CN113567451A (en) * 2021-07-23 2021-10-29 江苏电力信息技术有限公司 Cable defect detection and diameter measurement method
CN114333243A (en) * 2021-12-21 2022-04-12 长江三峡勘测研究院有限公司(武汉) Landslide monitoring and early warning method, device, medium, electronic equipment and terminal
CN116091488A (en) * 2023-03-07 2023-05-09 西安航天动力研究所 Displacement testing method and displacement testing system for engine swing test

Similar Documents

Publication Publication Date Title
CN110332894A (en) A kind of untouchable measurement method of dam surface displacement based on binocular vision
WO2021093283A1 (en) Sea surface small-area oil spill region detection system and detection method based on multi-sensing fusion
CN102147281B (en) Machine-vision based liquid level detection device and method
CN109359787B (en) Small-range sea area multi-mode sea wave prediction system and prediction method thereof
CN103161133B (en) Based on Intelligent road road-sweeper and the control method thereof of machine vision
CN102768022A (en) Tunnel surrounding rock deformation detection method adopting digital camera technique
CN108921165B (en) Water level identification method based on water gauge image
CN103994724A (en) Method for monitoring two-dimensional displacement and strain of structure based on digital image processing technology
CN101814185A (en) Line structured light vision sensor calibration method for micro-size measurement
CN102176228A (en) Machine vision method for identifying dial plate information of multi-pointer instrument
CN202008382U (en) Liquid level detector based on machine vision
CN104700395A (en) Method and system for detecting appearance crack of structure
CN105472355A (en) Switch machine notch monitoring system and method based on binocular visual processing identification
CN115060343B (en) Point cloud-based river water level detection system and detection method
CN109186706A (en) A method of for the early warning of Urban Storm Flood flooding area
CN109146974A (en) A kind of readings of pointer type meters recognition methods and system
CN102306274A (en) Device for identifying parking space state and method
CN114627316A (en) Hydraulic system oil leakage detection method based on artificial intelligence
CN111879292A (en) Coastline dynamic monitoring method, coastline dynamic monitoring equipment and storage medium
Xu et al. Water level estimation based on image of staff gauge in smart city
CN106198324A (en) A kind of mist droplet particle size detection Apparatus and method for
CN104123569B (en) Video person number information statistics method based on supervised learning
CN104597286A (en) Yellow River ice run ice floating speed measuring method
CN205280578U (en) Multispectral camera is used in ocean oil spilling monitoring
CN115760885B (en) High-closure-degree wetland forest parameter extraction method based on consumer-level unmanned aerial vehicle image

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20191015