CN101900688A - Water quality monitoring method based on motion features of aquatic organism in the image - Google Patents
Water quality monitoring method based on motion features of aquatic organism in the image Download PDFInfo
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Abstract
A kind of water quality monitoring method based on hydrobiont brocade crucian carp motion feature in the image, adopt bright and beautiful crucian carp as indicator organism, adopt two cameras to take the image sequence that bright and beautiful crucian carp moves about in fish jar, obtain the average movement velocity of bright and beautiful crucian carp in the unit interval, turn to number of times, average angle of turn, average health inclination angle, be detained the superjacent waters time according to image, ANOMALOUS VARIATIONS according to this five indices is judged automatically, and the detected concentration waste water that exceeds standard is reported to the police.At first adopt two cameras to take the image sequence that bright and beautiful crucian carp moves about in fish jar, in two image sequences, adopt image Segmentation Technology to detect the target area information of bright and beautiful crucian carp on each image, obtain position and the angle of bright and beautiful crucian carp on each two field picture according to target area information, obtain average movement velocity in the unit interval, turn to number of times, average angle of turn, average health inclination angle, be detained the superjacent waters time according to the position and the angle information of bright and beautiful crucian carp on each two field picture then.Judge the water pollution degree according to this five indices at last.The inventive method is simple, realization is easy, has solved the problems such as unicity that physics and chemistry detects in the water quality monitoring.
Description
Technical field
The present invention relates to a kind of water quality monitoring method based on hydrobiont brocade crucian carp motion feature in the image, be used for environmental monitoring, applications such as video motion analysis and agriculture habitat all have actual application value at aspects such as water quality monitoring, atmospheric surveillance, environmental safety assessment, biological information and sensing, energy-saving and emission-reduction, toxicity research, biological studies.Belong to computer vision and Environmental Engineering field.
Background technology
At present, carried out a series of research work at water quality monitoring both at home and abroad, in the evaluation procedure of water quality, conventional water environment index detects and adopts physico-chemical method usually.Adopt biological detection can the synergy of multiple pollutant be detected, the unicity detection that detects than physics and chemistry has very big advantage.Biological detection can detect the pollutant of the chronic toxic effect of low concentration, can improve the ageing of detection, is convenient to people and in time water environment is handled, and biological detection has also overcome the limitation of traditional physics and chemistry detection and the loaded down with trivial details property of serial sampling.
Monitoring and analysis that Germany's product " MFB (Multispecies Freshwater Biomonitor) many species water purification monitor " changes the hydrobiont motor behavior by many species water purification monitor, realization is to the biological on-line monitoring of water body, comprehensive evaluation goes out the variation of water quality, thereby in the very first time, realize monitoring, to tackle the incident of the various beyong contemplations that in the potable water production run, occur to the comprehensive water-body toxicity variation.Also can study the reflection of various hydrobionts in different quality.Many species water purification monitor measuring principle is based on four electrode resistance switch technologies, and tested biology is positioned in the cylindrical plexi-glass tubular that the current process arranged.
Summary of the invention
The objective of the invention is to deficiencies such as unicity at physics and chemistry detection in the water quality monitoring, propose a kind of based on the move about water quality monitoring method of feature of hydrobiont brocade crucian carp in the image, this method only needs two cameras, a bright and beautiful crucian carp, a fish jar just can carry out water quality monitoring, reduce the water quality monitoring cost, be applicable to the monitoring of various waste water.
For realizing such purpose, in the technical scheme of the present invention, adopt hydrobiont brocade crucian carp as indicator organism, adopt two cameras to take the image sequence that bright and beautiful crucian carp moves about in fish jar, according to image obtain bright and beautiful crucian carp in the unit interval average movement velocity, turn to number of times, average angle of turn, average health inclination angle, be detained the superjacent waters time, ANOMALOUS VARIATIONS according to this five indices is judged automatically, and the detected concentration waste water that exceeds standard is reported to the police.At first adopt two cameras to take the image sequence that bright and beautiful crucian carp moves about in fish jar, in two image sequences, adopt the carrying out image threshold segmentation technology for detection to go out the target area of bright and beautiful crucian carp on each image, obtain position and the angle of bright and beautiful crucian carp on each two field picture according to target area information, obtain average movement velocity in the unit interval, turn to number of times, average angle of turn, average health inclination angle, be detained the superjacent waters time according to the position and the angle information of bright and beautiful crucian carp on each two field picture then.Judge the water pollution degree according to this five indices at last.
Water quality monitoring method of the present invention specifically comprises following step:
1. adopt two cameras to take the image sequence that bright and beautiful crucian carp moves about in fish jar
Adopt two cameras that bright and beautiful crucian carp moving about in fish jar taken, camera be placed on fish jar directly over, a camera is placed on the side of fish jar, obtains two image sequences.
2. obtain the motion feature of bright and beautiful crucian carp
Adopt the carrying out image threshold segmentation technology for detection and obtain the target area of bright and beautiful crucian carp on each image, obtain the center pixel position of bright and beautiful crucian carp on each image according to target area information.Obtain the movement locus of bright and beautiful crucian carp according to the center pixel position of bright and beautiful crucian carp in the image sequence of top camera shooting, center pixel position and time according to bright and beautiful crucian carp in the image sequence of top camera shooting are obtained bright and beautiful crucian carp in each movement velocity constantly, obtain bright and beautiful crucian carp in each body angle constantly according to the target area information of bright and beautiful crucian carp in the image sequence of top camera shooting.In the image sequence of taking according to the side camera location of pixels of bright and beautiful crucian carp target area peak obtain bright and beautiful crucian carp each constantly apart from water surface distance, the target area information of bright and beautiful crucian carp is obtained bright and beautiful crucian carp at each health inclination angle constantly in the image sequence of taking according to the side camera.
3. obtain the five indices of bright and beautiful crucian carp
Obtain bright and beautiful crucian carp according to bright and beautiful crucian carp in each movement velocity constantly and in the unit interval, (choose one minute and be the unit interval) average movement velocity, obtain bright and beautiful crucian carp according to the movement locus of bright and beautiful crucian carp and each body angle constantly and in the unit interval, turn to number of times and average angle of turn, according to bright and beautiful crucian carp each constantly obtain the delay superjacent waters time of bright and beautiful crucian carp in the unit interval apart from water surface distance, obtain the average health inclination angle of bright and beautiful crucian carp in the unit interval according to bright and beautiful crucian carp at each health inclination angle constantly.
4. judge the water pollution degree according to the five indices of bright and beautiful crucian carp
If average movement velocity, turn to number of times, average angle of turn, average health inclination angle, be detained and have multinomial in the superjacent waters time five indices or, can judge that then water quality is contaminated all greater than given threshold value.
The inventive method is simple, realizes easily.The bright and beautiful crucian carp of setting up in the unit interval average movement velocity, turn to number of times, average angle of turn, average health inclination angle, be detained superjacent waters time five indices and can reflect the water pollution degree exactly.The inventive method is suitable for the dynamic monitoring of various contaminated wastewaters.Experiment is adopted cheaply, the easy-on video frequency pick-up head comes image data, does not need optional equipment, and the method for calculating bright and beautiful crucian carp motion feature is simple, has advantages such as real-time, noncontact.
Description of drawings
Fig. 1 is the synoptic diagram that two cameras are taken bright and beautiful crucian carp in the fish jar.
Among Fig. 1, camera be placed on fish jar directly over, a camera is placed on the side of fish jar.
Fig. 2 is the two field picture that fish jar top camera is taken.
Among Fig. 2, the pixel diameter of fish jar is 518 pixels, and the actual diameter of fish jar is 13.8 centimetres.
Fig. 3 is the two field picture that fish jar side camera is taken.
Among Fig. 3, the pixel wide of fish jar is 526 pixels, and the developed width of fish jar is 16.3 centimetres.
Fig. 4 is for calculating the experimental result of bright and beautiful crucian carp movement locus based on image sequence among the present invention.
Among Fig. 4, first row is the image sequence of taking according to the top camera, second row is the result with the corresponding carrying out image threshold segmentation of the first row image, the third line is the center position coordinates corresponding to the calculating brocade crucian carp of first row, second row, and is that the centre of form is drawn the result that square frame comes mark brocade crucian carp with this center position coordinates.
Embodiment
In order to understand technical scheme of the present invention better, be described in further detail below in conjunction with drawings and Examples.Embodiment specifically carries out the description of water quality monitoring process at accompanying drawing 2,3,4.
1. adopt two cameras that bright and beautiful crucian carp moving about in fish jar taken, as shown in Figure 1, camera be placed on fish jar directly over, a camera is placed on the side of fish jar, obtains two image sequences.Fig. 2 is the two field picture that fish jar top camera is taken, and Fig. 3 be the two field picture that fish jar side camera is taken, and Fig. 4 first row is the image sequence that the bright and beautiful crucian carp of fish jar top camera shooting moves about.
2. adopt the target area of carrying out image threshold segmentation technology for detection bright and beautiful crucian carp on each image, obtain and the corresponding carrying out image threshold segmentation result of the first row image, shown in Fig. 4 the 2nd row.Obtain the center position coordinates of bright and beautiful crucian carp on each image according to target area information.
Obtain the movement locus of bright and beautiful crucian carp according to the center pixel position of bright and beautiful crucian carp in the image sequence of top camera shooting.
Center pixel position and time according to bright and beautiful crucian carp in the image sequence of top camera shooting are obtained bright and beautiful crucian carp in each movement velocity (is long measure with the pixel) constantly, and the movement velocity computing formula is:
Shown in Fig. 4 the 3rd row, the center pixel coordinate of bright and beautiful crucian carp the 1st frame is (x
1, y
1)=(507,236), the center pixel coordinate of the 2nd frame is (x
2, y
2)=(488,282), the 1st frame and the 2nd frame period t=0.4 second, substitution movement velocity computing formula can get v
Pixel=49.77 pixel/seconds.
The pixel diameter of fish jar mouth is 518 pixels among Fig. 4, and actual diameter is 13.8 centimetres, and can obtain actual motion speed is v=(13.8/518) v
Pixel=(13.8/518) * 49.77=1.33 cel.
Obtain bright and beautiful crucian carp in each body angle constantly according to the target area information of bright and beautiful crucian carp in the image sequence of top camera shooting.The angle of bright and beautiful crucian carp health and x axle is in Fig. 4 the 3rd row the 1st frame :-53 °.
In the image sequence of taking according to the side camera pixel coordinate of bright and beautiful crucian carp target area peak obtain bright and beautiful crucian carp each constantly apart from water surface distance, bright and beautiful crucian carp is 234 pixels apart from water surface distance among Fig. 3, the pixel wide of fish jar is 526 pixels, the developed width of fish jar is 16.3 centimetres, and that can obtain reality is (16.3/526) * 234=7.25 centimetre apart from water surface distance.
Obtain bright and beautiful crucian carp at each health inclination angle constantly according to the target area information of bright and beautiful crucian carp in the image sequence of side camera shooting.The inclination angle that bright and beautiful crucian carp health is become with surface level among Fig. 3 is 0 °.
3. calculate the arithmetic mean of bright and beautiful crucian carp (as choose one minute for unit interval) each movement velocity constantly in the unit interval, this value is the average movement velocity of bright and beautiful crucian carp.
Bright and beautiful crucian carp each present frame and body angle of former frame constantly in the unit interval is subtracted each other and obtained each angle of turn constantly, obtain angle of turn greater than 90 ° number of times, this value turns to number of times for bright and beautiful crucian carp in the unit interval.
Calculate the arithmetic mean of bright and beautiful crucian carp each angle of turn constantly in the unit interval, this value is the average angle of turn of bright and beautiful crucian carp.
Calculate bright and beautiful crucian carp in the unit interval each constantly apart from water surface distance, obtain apart from the time value of water surface distance less than 5 pixels, this value is the delay superjacent waters time of bright and beautiful crucian carp in the unit interval.
Calculate the arithmetic mean at bright and beautiful crucian carp each health inclination angle constantly in the unit interval, this value is the average health inclination angle of bright and beautiful crucian carp in the unit interval.
4. if average movement velocity, turn to number of times, average angle of turn, average health inclination angle, be detained and have multinomial in the superjacent waters time five indices or, can judge that then water quality is contaminated all greater than given threshold value.
Claims (1)
1. water quality monitoring method based on hydrobiont brocade crucian carp motion feature in the image is characterized in that comprising following concrete steps:
1) adopt two cameras that hydrobiont brocade crucian carp moving about in fish jar taken, camera be placed on fish jar directly over, a camera is placed on the side of fish jar, obtains two image sequences;
2) adopt carrying out image threshold segmentation technology for detection and obtain the target area of bright and beautiful crucian carp on each image, obtain the center pixel position of bright and beautiful crucian carp on each image according to target area information.Obtain the movement locus of bright and beautiful crucian carp according to the center pixel position of bright and beautiful crucian carp in the image sequence of top camera shooting, center pixel position and time according to bright and beautiful crucian carp in the image sequence of top camera shooting are obtained bright and beautiful crucian carp in each movement velocity constantly, obtain bright and beautiful crucian carp in each body angle constantly according to the target area information of bright and beautiful crucian carp in the image sequence of top camera shooting.In the image sequence of taking according to the side camera location of pixels of bright and beautiful crucian carp target area peak obtain bright and beautiful crucian carp each constantly apart from water surface distance, the target area information of bright and beautiful crucian carp is obtained bright and beautiful crucian carp at each health inclination angle constantly in the image sequence of taking according to the side camera;
3) obtain bright and beautiful crucian carp according to bright and beautiful crucian carp in each movement velocity constantly and in the unit interval, (choose one minute and be the unit interval) average movement velocity, obtain bright and beautiful crucian carp according to the movement locus of bright and beautiful crucian carp and each body angle constantly and in the unit interval, turn to number of times and average angle of turn, according to bright and beautiful crucian carp each constantly obtain the delay superjacent waters time of bright and beautiful crucian carp in the unit interval apart from water surface distance, obtain the average health inclination angle of bright and beautiful crucian carp in the unit interval according to bright and beautiful crucian carp at each health inclination angle constantly;
4) if average movement velocity, turn to number of times, average angle of turn, average health inclination angle, be detained and have multinomial in the superjacent waters time five indices or, can judge that then water quality is contaminated all greater than given threshold value.
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102841187A (en) * | 2012-09-11 | 2012-12-26 | 深圳市开天源自动化工程有限公司 | System and method for early warning of water pollution based on fish multi-sample statistics |
| CN104026049A (en) * | 2014-05-30 | 2014-09-10 | 中国科学院海洋研究所 | Fish swimming behavior observation device |
| CN104749116A (en) * | 2013-03-18 | 2015-07-01 | 吴昊 | Water environment monitoring device based on machine vision |
| CN104872025A (en) * | 2015-06-08 | 2015-09-02 | 广东省农业科学院畜牧研究所 | Aquarium fish activity track record method |
| CN106526112A (en) * | 2016-10-25 | 2017-03-22 | 浙江工业大学 | Water quality toxicity detection method based on fish activity analysis |
| CN106561532A (en) * | 2016-11-08 | 2017-04-19 | 深圳技师学院 | Method and device for monitoring activity of fish |
| CN108376238A (en) * | 2018-01-19 | 2018-08-07 | 山东师范大学 | A kind of unmarked aquatile identification method for tracing of multiple target and system |
| CN108510481A (en) * | 2018-03-22 | 2018-09-07 | 杨明 | Sewage disposal system based on image procossing and method |
| CN109391795A (en) * | 2017-08-08 | 2019-02-26 | 深圳市朗测科技有限公司 | It is a kind of for monitoring the automatic image camera device and method of fish jar |
| CN110609128A (en) * | 2019-10-14 | 2019-12-24 | 武汉市天泉慧源环保科技有限公司 | Water quality safety monitor |
| CN110702869A (en) * | 2019-11-01 | 2020-01-17 | 无锡中科水质环境技术有限公司 | Fish stress avoidance behavior water quality monitoring method based on video image analysis |
| CN114252577A (en) * | 2022-03-02 | 2022-03-29 | 成都曜菲网络科技有限公司 | Dynamic detection device and detection method for white and turbid water quality in fish tank |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS63113355A (en) * | 1986-10-31 | 1988-05-18 | Hitachi Ltd | Image monitor for aquatic animal |
| CN1162119A (en) * | 1996-02-20 | 1997-10-15 | 阿尼玛电子株式会社 | Apparatus for monitoring water quality using aquatic living thing |
| CN101520448A (en) * | 2009-03-31 | 2009-09-02 | 深圳市开天源自动化工程有限公司 | Water quality pollution early warning method |
| WO2009126116A1 (en) * | 2008-04-09 | 2009-10-15 | Agency For Science, Technology And Research | System and method for monitoring water quality |
-
2010
- 2010-08-19 CN CN 201010256880 patent/CN101900688A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS63113355A (en) * | 1986-10-31 | 1988-05-18 | Hitachi Ltd | Image monitor for aquatic animal |
| CN1162119A (en) * | 1996-02-20 | 1997-10-15 | 阿尼玛电子株式会社 | Apparatus for monitoring water quality using aquatic living thing |
| WO2009126116A1 (en) * | 2008-04-09 | 2009-10-15 | Agency For Science, Technology And Research | System and method for monitoring water quality |
| CN101520448A (en) * | 2009-03-31 | 2009-09-02 | 深圳市开天源自动化工程有限公司 | Water quality pollution early warning method |
Non-Patent Citations (1)
| Title |
|---|
| 《中国优秀硕士学位论文全文数据库》 20091231 应晓芳 基于机器视觉的鱼体运动模型研究 第49-50，56-59页 , 2 * |
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| CN102841187B (en) * | 2012-09-11 | 2014-10-29 | 深圳市开天源自动化工程有限公司 | System and method for early warning of water pollution based on fish multi-sample statistics |
| CN102841187A (en) * | 2012-09-11 | 2012-12-26 | 深圳市开天源自动化工程有限公司 | System and method for early warning of water pollution based on fish multi-sample statistics |
| CN104749116A (en) * | 2013-03-18 | 2015-07-01 | 吴昊 | Water environment monitoring device based on machine vision |
| CN104749116B (en) * | 2013-03-18 | 2017-06-09 | 珠海市爱高普净水工程有限公司 | A kind of water environment monitoring device based on machine vision |
| CN104026049A (en) * | 2014-05-30 | 2014-09-10 | 中国科学院海洋研究所 | Fish swimming behavior observation device |
| CN104026049B (en) * | 2014-05-30 | 2015-12-30 | 中国科学院海洋研究所 | A kind of Fish Swimming Traces measuring behavior device |
| CN104872025A (en) * | 2015-06-08 | 2015-09-02 | 广东省农业科学院畜牧研究所 | Aquarium fish activity track record method |
| CN106526112A (en) * | 2016-10-25 | 2017-03-22 | 浙江工业大学 | Water quality toxicity detection method based on fish activity analysis |
| CN106561532B (en) * | 2016-11-08 | 2019-07-26 | 深圳技师学院 | A kind of movable method and apparatus of monitoring fish |
| CN106561532A (en) * | 2016-11-08 | 2017-04-19 | 深圳技师学院 | Method and device for monitoring activity of fish |
| CN109391795B (en) * | 2017-08-08 | 2024-03-12 | 深圳市朗测科技有限公司 | Automatic image shooting and recording device and method for monitoring fish tank |
| CN109391795A (en) * | 2017-08-08 | 2019-02-26 | 深圳市朗测科技有限公司 | It is a kind of for monitoring the automatic image camera device and method of fish jar |
| CN108376238B (en) * | 2018-01-19 | 2020-06-30 | 山东师范大学 | Multi-target unmarked aquatic organism identification tracking method and system |
| CN108376238A (en) * | 2018-01-19 | 2018-08-07 | 山东师范大学 | A kind of unmarked aquatile identification method for tracing of multiple target and system |
| CN108510481A (en) * | 2018-03-22 | 2018-09-07 | 杨明 | Sewage disposal system based on image procossing and method |
| CN110609128A (en) * | 2019-10-14 | 2019-12-24 | 武汉市天泉慧源环保科技有限公司 | Water quality safety monitor |
| CN110702869A (en) * | 2019-11-01 | 2020-01-17 | 无锡中科水质环境技术有限公司 | Fish stress avoidance behavior water quality monitoring method based on video image analysis |
| CN114252577A (en) * | 2022-03-02 | 2022-03-29 | 成都曜菲网络科技有限公司 | Dynamic detection device and detection method for white and turbid water quality in fish tank |
| CN114252577B (en) * | 2022-03-02 | 2022-06-14 | 成都曜菲网络科技有限公司 | Method for detecting white and turbid water quality in fish tank |
| CN117581815A (en) * | 2023-12-28 | 2024-02-23 | 佛山市南海区杰大饲料有限公司 | Method and device for judging growth condition of industrial cultured fish |
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