CN102288254A - water level measuring method based on digital image processing - Google Patents
water level measuring method based on digital image processing Download PDFInfo
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- CN102288254A CN102288254A CN 201110194030 CN201110194030A CN102288254A CN 102288254 A CN102288254 A CN 102288254A CN 201110194030 CN201110194030 CN 201110194030 CN 201110194030 A CN201110194030 A CN 201110194030A CN 102288254 A CN102288254 A CN 102288254A
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Abstract
The invention provides a water level measuring method based on digital image processing, which comprises the following steps of: adopting a conventional water level staff gauge, simulating a principle that a worker collects the data of a water level, obtaining the data of a real-time color image of the water level staff gauge through a camera, dividing a water level line by adopting a modern intelligent digital image processing technique, and obtaining the data of an actual water level through calculation. Through simulating the principle that the worker collects the data of the water level and by adopting the camera and computer software, the worker is not necessary to go to a field, the information of the water level can be collected precisely, and the problem of collecting the water level in some severe environments is solved.
Description
Technical field
The present invention relates to a kind of water level measurement method, especially based on the water level measurement method of Digital Image Processing.
Background technology
The method of traditional measurement waterlevel data is to patrol survey by the staff to the gauge scene, and direct visual scale carries out reading, record, and this method needs the staff to be familiar with the number reading method of gauge, is faced with the situation of testing difficulty.The method of modern surveying waterlevel data except keeping classic method, has also adopted float type level meter, pressure type water level gauge, gas Jie or liquid Jie ultrasonic water level gauge etc., and different application is arranged under different situations.But adopting traditional gauge to measure water level is still acceptance the most directly perceived, easy, is not subjected to the very high measuring method of environmental influence, degree of accuracy.
Summary of the invention
The technical problem to be solved in the present invention is: the water level measurement method based on Digital Image Processing is provided, and the personnel that need not can accurately gather water level information to the scene.
The present invention solves the problems of the technologies described above the technical scheme of being taked to be: based on the water level measurement method of Digital Image Processing, it is characterized in that: it may further comprise the steps:
Step 1) is installed in gauge the place ahead with camera, guarantees to obtain the original image of gauge top to the water surface, and the locality of gauge in original image is positive and negative 6 degree of vertical direction;
Step 2) denoising: carry out colored enhancement process after shooting is finished to original image, view data is transformed into the HSV space by rgb space, extract the color component of scale label correspondence wherein;
Step 3) is carried out slant correction to gauge and is handled: by in the anglec of rotation allows the space each anglec of rotation being traveled through, measure with projected area, select the projected area anglec of rotation hour as actual angle of inclination, according to actual angle of inclination image is rotated conversion, makes gauge vertically strict the rotation of gauge regional area image;
It is positive and negative 6 degree of vertical direction that the described anglec of rotation allows the space;
Step 4) is analyzed on the gauge vertical direction through the image after the rotational transform, draws the gauge start position according to the regularity of distribution of gauge, and seeks the intersection position of the water surface and gauge;
Step 5) is subtracted each other intersection position and gauge start position, and calculates the actual water level measured value according to the scale size of gauge.
Press such scheme, the described water surface judged by the depth of the corresponding color component of scale label with the intersection position of gauge, and the boundary between the dark and light colour component is the intersection position.
Press such scheme, the described gauge regularity of distribution is specially gauge and is alternately arranged from top to bottom by letter e and form, and then the height of known each letter e is the scale size, and the pixel count of the height correspondence of each letter e.
Press such scheme, described step 5) is specially: the pixel count=height of water level of height/each letter e of each letter e of pixel count * between intersection position and the gauge start position.
Press such scheme, described camera resolution is more than 2,000,000 pixels.
Press such scheme, described camera installation site is apart from gauge installation site 3～5m.
Press such scheme, described step 2) in extract scale label correspondence wherein color component be redness, i.e. H=0 in the HSV value.
Principle of work of the present invention is: adopt traditional gauge, analog operation personnel gather the principle of waterlevel data, obtain the real-time color view data of gauge by camera, adopt modern intelligent digital image processing techniques, be partitioned into waterline, by calculating actual waterlevel data.
Beneficial effect of the present invention is:
1, gather the principle of waterlevel data by the analog operation personnel, utilize camera and computer software, the personnel that need not can accurately gather water level information to the scene, have solved the water level acquisition problem under some rugged surroundings.
2, by the colored enhancement process method in the step 2 make differentiate have anti-noise and, anti-uneven illumination, reliable and stable, real-time, realize advantages such as simple.
Description of drawings
Fig. 1 is a process flow diagram of the present invention.
Fig. 2 is the collection site synoptic diagram.
Embodiment
Fig. 1 is a process flow diagram of the present invention, may further comprise the steps.
Step 1) is installed in gauge the place ahead with camera, guarantees to obtain the original image of gauge top to the water surface, and the locality of gauge in original image is positive and negative 6 degree of vertical direction.
Step 2) denoising: carry out colored enhancement process after shooting is finished to original image, view data is transformed into the HSV space by rgb space, extract the color component of scale label correspondence wherein; Usually the color component that extracts scale label correspondence wherein is red, i.e. H=0 in the HSV value.
Step 3) is carried out slant correction to gauge and is handled: by in the anglec of rotation allows the space each anglec of rotation being traveled through, measure with projected area, select the projected area anglec of rotation hour as actual angle of inclination, according to actual angle of inclination image is rotated conversion, makes gauge vertically strict the rotation of gauge regional area image;
It is positive and negative 6 degree of vertical direction that the described anglec of rotation allows the space.
Step 4) is analyzed on the gauge vertical direction through the image after the rotational transform, draws the gauge start position according to the regularity of distribution of gauge, and seeks the intersection position of the water surface and gauge.
The water surface judged by the depth of the corresponding color component of scale label with the intersection position of gauge, and the boundary between the dark and light colour component is the intersection position.
The gauge regularity of distribution is specially gauge and is alternately arranged from top to bottom by letter e and form, and as shown in Figure 2, then the height of known each letter e is the scale size, and the pixel count of the height correspondence of each letter e.
Step 5) is subtracted each other intersection position and gauge start position, and calculates the actual water level measured value according to the scale size of gauge.Be specially: the pixel count=height of water level of height/each letter e of each letter e of pixel count * between intersection position and the gauge start position.
In the present embodiment, camera resolution is installed in the position of the dead ahead 3～5m of gauge scale more than 2,000,000 pixels.
Claims (7)
1. based on the water level measurement method of Digital Image Processing, it is characterized in that: it may further comprise the steps:
Step 1) is installed in gauge the place ahead with camera, guarantees to obtain the original image of gauge top to the water surface, and the locality of gauge in original image is positive and negative 6 degree of vertical direction;
Step 2) denoising: carry out colored enhancement process after shooting is finished to original image, view data is transformed into the HSV space by rgb space, extract the color component of scale label correspondence wherein;
Step 3) is carried out slant correction to gauge and is handled: by in the anglec of rotation allows the space each anglec of rotation being traveled through, measure with projected area, select the projected area anglec of rotation hour as actual angle of inclination, according to actual angle of inclination image is rotated conversion, makes gauge vertically strict the rotation of gauge regional area image;
It is positive and negative 6 degree of vertical direction that the described anglec of rotation allows the space;
Step 4) is analyzed on the gauge vertical direction through the image after the rotational transform, draws the gauge start position according to the regularity of distribution of gauge, and seeks the intersection position of the water surface and gauge;
Step 5) is subtracted each other intersection position and gauge start position, and calculates the actual water level measured value according to the scale size of gauge.
2. the water level measurement method based on Digital Image Processing according to claim 1, it is characterized in that: the described water surface judged by the depth of the corresponding color component of scale label with the intersection position of gauge, and the boundary between the dark and light colour component is the intersection position.
3. the water level measurement method based on Digital Image Processing according to claim 1, it is characterized in that: the described gauge regularity of distribution is specially gauge and is alternately arranged from top to bottom by letter e and form, then the height of known each letter e is the scale size, and the pixel count of the height correspondence of each letter e.
4. the water level measurement method based on Digital Image Processing according to claim 3 is characterized in that: described step 5) is specially: the pixel count=height of water level of height/each letter e of each letter e of pixel count * between intersection position and the gauge start position.
5. according to any described water level measurement method based on Digital Image Processing in the claim 1 to 4, it is characterized in that: described camera resolution is more than 2,000,000 pixels.
6. according to any described water level measurement method based on Digital Image Processing in the claim 1 to 4, it is characterized in that: described camera installation site is apart from gauge installation site 3 ~ 5m.
7. according to any described water level measurement method based on Digital Image Processing in the claim 1 to 4, it is characterized in that: the color component that extracts scale label correspondence wherein described step 2) is redness, i.e. H=0 in the HSV value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011101940307A CN102288254B (en) | 2010-07-13 | 2011-07-11 | Water level measuring method based on digital image processing |
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201010224886.X | 2010-07-13 | ||
| CN 201010224886 CN101937632A (en) | 2010-07-13 | 2010-07-13 | Portable automatic water-level reading instrument based on image processing |
| CN201010296250.6 | 2010-09-29 | ||
| CN2010102962506A CN101995281A (en) | 2010-09-29 | 2010-09-29 | Digital image processing-based water level measurement method |
| CN2011101940307A CN102288254B (en) | 2010-07-13 | 2011-07-11 | Water level measuring method based on digital image processing |
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| CN102288254A true CN102288254A (en) | 2011-12-21 |
| CN102288254B CN102288254B (en) | 2012-11-28 |
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| CN2011101940307A Active CN102288254B (en) | 2010-07-13 | 2011-07-11 | Water level measuring method based on digital image processing |
| CN2011202442592U Expired - Fee Related CN202209973U (en) | 2010-07-13 | 2011-07-11 | Water level measuring instrument based on digital image processing technology |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105488788A (en) * | 2015-11-24 | 2016-04-13 | 大连楼兰科技股份有限公司 | Vehicle liquid residual capacity detection method |
| CN105547405A (en) * | 2016-03-07 | 2016-05-04 | 左嘉志 | Water level measuring method and system |
| CN106768155A (en) * | 2016-12-22 | 2017-05-31 | 北京尚水信息技术股份有限公司 | The method that water level is measured using image procossing |
| CN106969808A (en) * | 2017-04-11 | 2017-07-21 | 浙江农林大学暨阳学院 | The reservoir level data collecting system of view-based access control model |
| CN107588823A (en) * | 2017-09-18 | 2018-01-16 | 河海大学 | Water gauge water level measurement method based on dual-waveband imaging |
| CN108960070A (en) * | 2018-06-05 | 2018-12-07 | 河海大学文天学院 | A kind of water level elevation detection system and its method |
| CN111015651A (en) * | 2019-11-26 | 2020-04-17 | 广东省医疗器械研究所 | Novel online water quality analysis system and implementation method thereof |
| CN113221898A (en) * | 2021-04-16 | 2021-08-06 | 北京科技大学 | Automatic water level gauge reading method |
| CN113822104A (en) * | 2020-07-07 | 2021-12-21 | 湖北亿立能科技股份有限公司 | Artificial intelligence water surface detection system based on virtual scale of many candidates |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1062231A (en) * | 1996-08-22 | 1998-03-06 | Hitachi Ltd | Screen display apparatus for measurement of water level and water level-measuring apparatus |
| JPH10185657A (en) * | 1996-12-19 | 1998-07-14 | Meiriyou Denshi Kk | Method of measuring fluctuating material upper level, and measuring device therefor |
| FR2865802B1 (en) * | 2004-01-30 | 2006-09-29 | France Etat Ponts Chaussees | DEVICE FOR MEASURING THE LEVEL OF A LIQUID |
| CN201016772Y (en) * | 2007-03-01 | 2008-02-06 | 刘家法 | Water level caution gage |
| CN101251402A (en) * | 2008-04-08 | 2008-08-27 | 中冶京诚工程技术有限公司 | System and method for processing gas-holder location data |
| CN101586956A (en) * | 2009-06-18 | 2009-11-25 | 上海交通大学 | River water level monitoring method based on monocular camera |
-
2011
- 2011-07-11 CN CN2011101940307A patent/CN102288254B/en active Active
- 2011-07-11 CN CN2011202442592U patent/CN202209973U/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1062231A (en) * | 1996-08-22 | 1998-03-06 | Hitachi Ltd | Screen display apparatus for measurement of water level and water level-measuring apparatus |
| JPH10185657A (en) * | 1996-12-19 | 1998-07-14 | Meiriyou Denshi Kk | Method of measuring fluctuating material upper level, and measuring device therefor |
| FR2865802B1 (en) * | 2004-01-30 | 2006-09-29 | France Etat Ponts Chaussees | DEVICE FOR MEASURING THE LEVEL OF A LIQUID |
| CN201016772Y (en) * | 2007-03-01 | 2008-02-06 | 刘家法 | Water level caution gage |
| CN101251402A (en) * | 2008-04-08 | 2008-08-27 | 中冶京诚工程技术有限公司 | System and method for processing gas-holder location data |
| CN101586956A (en) * | 2009-06-18 | 2009-11-25 | 上海交通大学 | River water level monitoring method based on monocular camera |
Cited By (14)
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|---|---|---|---|---|
| CN105488788B (en) * | 2015-11-24 | 2019-04-05 | 大连楼兰科技股份有限公司 | Vehicle liquid excess detection method |
| CN105488788A (en) * | 2015-11-24 | 2016-04-13 | 大连楼兰科技股份有限公司 | Vehicle liquid residual capacity detection method |
| CN105547405A (en) * | 2016-03-07 | 2016-05-04 | 左嘉志 | Water level measuring method and system |
| CN106768155A (en) * | 2016-12-22 | 2017-05-31 | 北京尚水信息技术股份有限公司 | The method that water level is measured using image procossing |
| CN106969808A (en) * | 2017-04-11 | 2017-07-21 | 浙江农林大学暨阳学院 | The reservoir level data collecting system of view-based access control model |
| CN106969808B (en) * | 2017-04-11 | 2021-11-19 | 浙江农林大学暨阳学院 | Reservoir water level data acquisition system based on vision |
| CN107588823A (en) * | 2017-09-18 | 2018-01-16 | 河海大学 | Water gauge water level measurement method based on dual-waveband imaging |
| CN108960070A (en) * | 2018-06-05 | 2018-12-07 | 河海大学文天学院 | A kind of water level elevation detection system and its method |
| CN111015651A (en) * | 2019-11-26 | 2020-04-17 | 广东省医疗器械研究所 | Novel online water quality analysis system and implementation method thereof |
| CN113822104A (en) * | 2020-07-07 | 2021-12-21 | 湖北亿立能科技股份有限公司 | Artificial intelligence water surface detection system based on virtual scale of many candidates |
| CN113822104B (en) * | 2020-07-07 | 2023-11-03 | 湖北亿立能科技股份有限公司 | Artificial intelligence surface of water detecting system based on virtual scale of many candidates |
| CN113221898A (en) * | 2021-04-16 | 2021-08-06 | 北京科技大学 | Automatic water level gauge reading method |
| CN113221898B (en) * | 2021-04-16 | 2022-02-15 | 北京科技大学 | Automatic water level gauge reading method |
| CN113983957A (en) * | 2021-10-29 | 2022-01-28 | 西南交通大学 | Wheel pair profile dynamic identification method based on multi-source information fusion |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102288254B (en) | 2012-11-28 |
| CN202209973U (en) | 2012-05-02 |
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