CN101655444A - Algae classified detection system through video images - Google Patents
Algae classified detection system through video images Download PDFInfo
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- CN101655444A CN101655444A CN200910305949A CN200910305949A CN101655444A CN 101655444 A CN101655444 A CN 101655444A CN 200910305949 A CN200910305949 A CN 200910305949A CN 200910305949 A CN200910305949 A CN 200910305949A CN 101655444 A CN101655444 A CN 101655444A
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Abstract
The invention provides an algae classified detection system through video images, comprising a flow cell, a piston, a microscope objective lens, a light source, a camera and an image analyzing and processing unit. The piston and the microscope objective lens are arranged at the upper and lower sides of the flow cell respectively; the piston is embedded into one side wall of the flow cell and can slide relative to the flow cell; the light source is arranged on one side or both sides of the flow cell; the microscope objective lens is connected with the camera; and the camera is connected with the image analyzing and processing unit. The algae classified detection system through video images utilizes automatic classification and density calculation based on image analysis to replace the traditional naked-eye distinguishing technique, thereby greatly reducing the workload of algae detection and shortening the detection time; in addition, by adopting a static shooting method, the inventionimproves the image quality, reaches the level of computer analysis, automatically carries out classification according to forms to guarantee the fully automatic sampling of the system, automatically shoots, automatically analyzes and counts images, automatically calculates the volume of a water sample, and automatically achieves the algae density calculation finally.
Description
Technical field
The present invention relates to detection system, particularly a kind of environmental protection, tap water and water conservancy industry of being used in endangers the algae classified detection system through video images that detects in the assessment to algae in the water body.
Background technology
The situation of algae is a kind of important content of present stage monitoring water quality in the monitoring water, and for the situation of the better more effective monitoring algae of energy, industry has also been carried out the change of a variety of technology.
Existing a kind of mode is the mode of flowable state image detection, and still this mode is taken pictures when mobile, and picture quality is affected, and the graphical analysis accuracy is lower.Though therefore this technology is arranged, be mainly used to classify according to the cell size, can not satisfy requirement according to typoiogical classification, application demand is not high.
Because the algae testing process need be carried out differential count to algae, needs to detect these algaes simultaneously in how many water bodys, calculates the density of different algaes at last.Existing technology or can't detect volume of water sample does not automatically perhaps have automatic sampling apparatus, can't realize the automatic detection of algae density.
Summary of the invention
In order to overcome above-mentioned the deficiencies in the prior art, the invention provides a kind of algae classified detection system through video images efficiently and control method thereof.
The technical solution adopted for the present invention to solve the technical problems is: a kind of algae classified detection system through video images is provided, it comprises flow cell, piston, micro objective, light source, filming apparatus and image analysis processing unit, described piston and micro objective are separately positioned on the both sides up and down of this flow cell, described piston embeds a sidewall of this flow cell and can slide relatively, described light source is arranged on the one or both sides of flow cell, described micro objective links to each other with this filming apparatus, and this filming apparatus links to each other with this image analysis processing unit.
The scheme that the present invention solves further technical matters is: the water (flow) direction of tested water sample is the left and right directions along described flow cell.
The scheme that the present invention solves further technical matters is: described flow cell and piston are to be made by transparent material.
The scheme that the present invention solves further technical matters is: described filming apparatus is the CCD filming apparatus.
The scheme that the present invention solves further technical matters is: the water sample that introducing will be monitored, described piston moves along the direction away from this micro objective.
The scheme that the present invention solves further technical matters is: after sample introduction was finished, current stopped, and described piston moves to the direction near this micro objective.
The scheme that the present invention solves further technical matters is: this piston moves to from 5 to 20 microns positions, flow cell upper end.
The scheme that the present invention solves further technical matters is: this algae classified detection system through video images is controlled this micro objective and is moved to diverse location.
The scheme that the present invention solves further technical matters is: described micro objective is chosen 100-1000 the different visuals field and is taken pictures.
The scheme that the present invention solves further technical matters is: the result that will take is sent to this image analysis processing unit and carries out graphical analysis and identification, the result who takes is sent to this image analysis processing unit carries out graphical analysis and identification, this image analysis processing unit calculates the volume of water sample in the visual field, calculates classification algae density according to count results and volume of water sample.
Compared to prior art, algae classified detection system through video images of the present invention, use automatic classification and density calculation to replace traditional artificial naked eyes recognition techniques based on graphical analysis, significantly reduce the workload that algae detects, shorten detection time, by static photographic method, when improving picture quality, reach can Computer Analysis level, can be according to the form complete auto injection of assurance system of classifying automatically, automatic camera carries out graphical analysis and counting automatically, automatically the measuring and calculating volume of water sample is realized the algae density calculation at last automatically.
Description of drawings
Fig. 1 is the theory structure synoptic diagram of algae classified detection system through video images of the present invention.
Fig. 2 is the work synoptic diagram of algae classified detection system through video images of the present invention.
Embodiment
Following content be in conjunction with concrete preferred implementation to further describing that the present invention did, can not assert that concrete enforcement of the present invention is confined to these explanations.For the general technical staff of the technical field of the invention, without departing from the inventive concept of the premise, can also make some simple deduction or replace, all should be considered as belonging to protection scope of the present invention.
See also Fig. 1 and Fig. 2, the invention provides a kind of algae classified detection system through video images, it comprises flow cell 11, piston 12, micro objective 13, light source 14, filming apparatus (figure does not show) and image analysis processing unit (figure does not show).
The water (flow) direction of tested water sample is the left and right directions along described flow cell 11, and described piston 12 and micro objective 13 are separately positioned on the both sides up and down of this flow cell 11, and described piston 12 embeds a sidewall of this flow cell 11 and can slide relatively.Described light source 14 is arranged on the one or both sides of flow cell 11.Described micro objective 13 links to each other with this filming apparatus, and this filming apparatus links to each other with this image analysis processing unit.
Described flow cell 11 and piston 12 are to be made by transparent material, and described filming apparatus is the CCD filming apparatus.
In order to guarantee that flow cell 11 does not stop up, the height of this flow cell is in a centimetre magnitude.
During work, at first be sample introduction, promptly introduce the water sample that to monitor, described piston moves along the direction away from this micro objective 13, make the sample introduction flow strengthen, guarantee that sample introduction is smooth, reduce the stop retardation time of detected water sample in this algae classified detection system through video images.
After sample introduction is finished, current stop, and described piston 12 moves to the direction near this micro objective 13, and this piston 12 moves to about 5 to 20 microns positions from flow cell 11 upper ends, because the camera lens depth of field is smaller, the image that has only microscope in this state to obtain is just clear.This algae classified detection system through video images is controlled this micro objective 13 and is moved to diverse location, choose the individual different visuals field of 100-1000 (perhaps arbitrarily many) and take pictures, and the result that will take is sent to this image analysis processing unit and carries out graphical analysis and identification.
This image analysis processing unit calculates the volume of water sample in the individual visual field of this 100-1000 (perhaps many arbitrarily), calculates classification algae density according to count results and volume of water sample.
Algae classified detection system through video images of the present invention has been accelerated to take pictures and recognition speed greatly, the visual field number that makes each detection to detect can improve 10 times than manual detection, 1/10th to 1/5th when the microscopically water layer thickness can be manual detection so at least.Under such water layer thickness, the image of algae is more clear, and the image recognition accuracy improves.
Algae classified detection system through video images of the present invention, use automatic classification and density calculation to replace traditional artificial naked eyes recognition techniques based on graphical analysis, significantly reduce the workload that algae detects, shorten detection time, by static photographic method, when improving picture quality, reach can Computer Analysis level, can be according to the form complete auto injection of assurance system of classifying automatically, automatic camera, automatically carry out graphical analysis and counting, calculate volume of water sample automatically, the density calculation of the last algae of realization automatically.
Claims (10)
1. algae classified detection system through video images, it is characterized in that: it comprises flow cell, piston, micro objective, light source, filming apparatus and image analysis processing unit, described piston and micro objective are separately positioned on the both sides up and down of this flow cell, described piston embeds a sidewall of this flow cell and can slide relatively, described light source is arranged on the one or both sides of flow cell, described micro objective links to each other with this filming apparatus, and this filming apparatus links to each other with this image analysis processing unit.
2. algae classified detection system through video images according to claim 1 is characterized in that: the water (flow) direction of tested water sample is the left and right directions along described flow cell.
3. algae classified detection system through video images according to claim 1 is characterized in that: described flow cell and piston are to be made by transparent material.
4. algae classified detection system through video images according to claim 1 is characterized in that: described filming apparatus is the CCD filming apparatus.
5. algae classified detection system through video images according to claim 1 is characterized in that: the water sample that introducing will be monitored, described piston moves along the direction away from this micro objective.
6. algae classified detection system through video images according to claim 1 is characterized in that: after sample introduction was finished, current stopped, and described piston moves to the direction near this micro objective.
7. algae classified detection system through video images according to claim 6 is characterized in that: this piston moves to from 5 to 20 microns positions, flow cell upper end.
8. algae classified detection system through video images according to claim 7 is characterized in that: this algae classified detection system through video images is controlled this micro objective and is moved to diverse location.
9. algae classified detection system through video images according to claim 8 is characterized in that: described micro objective is chosen 100-1000 the different visuals field and is taken pictures.
10. algae classified detection system through video images according to claim 9, it is characterized in that: the result that will take is sent to this image analysis processing unit and carries out graphical analysis and identification, the result who takes is sent to this image analysis processing unit carries out graphical analysis and identification, this image analysis processing unit calculates the volume of water sample in the visual field, calculates classification algae density according to count results and volume of water sample.
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| CN2009103059491A CN101655444B (en) | 2009-08-21 | 2009-08-21 | Algae classified detection system through video images |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101975849A (en) * | 2010-09-25 | 2011-02-16 | 宁波大学 | Quick qualitatively and quantitatively optimizing method of phytoplankton |
| CN102411715A (en) * | 2010-09-21 | 2012-04-11 | 张云超 | Automatic cell image classification method and system with learning monitoring function |
| CN102564913A (en) * | 2012-01-06 | 2012-07-11 | 深圳市绿野江河科技有限公司 | Sample feeding device for algae detection and algae detecting system |
| CN103984979A (en) * | 2014-06-06 | 2014-08-13 | 南昌航空大学 | Lens-diffraction-imaging-free automatic algae detection and counting device and method |
| CN106324198A (en) * | 2016-08-23 | 2017-01-11 | 水利部南京水利水文自动化研究所 | Online monitoring early-warning method for aquatic plants |
| CN108507625A (en) * | 2018-06-21 | 2018-09-07 | 水利部中国科学院水工程生态研究所 | A kind of water body planktonic organism intellectual monitoring platform and method for integrating Internet of Things |
| CN111007221A (en) * | 2019-12-23 | 2020-04-14 | 中国环境科学研究院 | Automatic classification counting system for algae in water body |
| CN111198262A (en) * | 2018-11-19 | 2020-05-26 | 苏州迈瑞科技有限公司 | Detection device and method for urine visible component analyzer |
| CN113092346A (en) * | 2021-04-06 | 2021-07-09 | 中国水利水电科学研究院 | Algae cell counting detection system and detection method thereof |
| CN113395595A (en) * | 2020-03-12 | 2021-09-14 | 平湖莱顿光学仪器制造有限公司 | Intelligent two-dimensional video playing method related to density and video device thereof |
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| CN109030488B (en) * | 2018-06-25 | 2021-05-28 | 中国海洋大学 | Algae biomass detection method and device |
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2009
- 2009-08-21 CN CN2009103059491A patent/CN101655444B/en active Active
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102411715A (en) * | 2010-09-21 | 2012-04-11 | 张云超 | Automatic cell image classification method and system with learning monitoring function |
| CN101975849A (en) * | 2010-09-25 | 2011-02-16 | 宁波大学 | Quick qualitatively and quantitatively optimizing method of phytoplankton |
| CN102564913A (en) * | 2012-01-06 | 2012-07-11 | 深圳市绿野江河科技有限公司 | Sample feeding device for algae detection and algae detecting system |
| CN102564913B (en) * | 2012-01-06 | 2014-02-12 | 深圳市绿野江河科技有限公司 | Sample feeding device for algae detection and algae detecting system |
| CN103984979A (en) * | 2014-06-06 | 2014-08-13 | 南昌航空大学 | Lens-diffraction-imaging-free automatic algae detection and counting device and method |
| CN106324198A (en) * | 2016-08-23 | 2017-01-11 | 水利部南京水利水文自动化研究所 | Online monitoring early-warning method for aquatic plants |
| CN108507625A (en) * | 2018-06-21 | 2018-09-07 | 水利部中国科学院水工程生态研究所 | A kind of water body planktonic organism intellectual monitoring platform and method for integrating Internet of Things |
| CN108507625B (en) * | 2018-06-21 | 2023-06-09 | 水利部中国科学院水工程生态研究所 | Intelligent monitoring platform and method for water plankton integrating Internet of things |
| CN111198262A (en) * | 2018-11-19 | 2020-05-26 | 苏州迈瑞科技有限公司 | Detection device and method for urine visible component analyzer |
| CN111198262B (en) * | 2018-11-19 | 2023-04-11 | 苏州迈瑞科技有限公司 | Detection device and method for urine visible component analyzer |
| CN111007221A (en) * | 2019-12-23 | 2020-04-14 | 中国环境科学研究院 | Automatic classification counting system for algae in water body |
| CN113395595A (en) * | 2020-03-12 | 2021-09-14 | 平湖莱顿光学仪器制造有限公司 | Intelligent two-dimensional video playing method related to density and video device thereof |
| CN113395595B (en) * | 2020-03-12 | 2023-03-24 | 平湖莱顿光学仪器制造有限公司 | Intelligent two-dimensional video playing method related to density and video device thereof |
| CN113092346A (en) * | 2021-04-06 | 2021-07-09 | 中国水利水电科学研究院 | Algae cell counting detection system and detection method thereof |
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| CN101655444B (en) | 2011-04-20 |
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Address after: 518000 room 630, Golden Triangle building, Shahe street, Shenzhen, Nanshan District Patentee after: Shenzhen Lvyejianghe Technology Co., Ltd. Address before: 518000 room 630, Golden Triangle building, Shahe street, Nanshan District, Guangdong, Shenzhen Patentee before: Shenzhen City Green Science & Technology Company |