CN1806501A - Marine phytoplankton automatic distinguishing method and apparatus - Google Patents

Marine phytoplankton automatic distinguishing method and apparatus Download PDF

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Publication number
CN1806501A
CN1806501A CN 200510042345 CN200510042345A CN1806501A CN 1806501 A CN1806501 A CN 1806501A CN 200510042345 CN200510042345 CN 200510042345 CN 200510042345 A CN200510042345 A CN 200510042345A CN 1806501 A CN1806501 A CN 1806501A
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marine phytoplankton
graphic feature
phytoplankton
marine
database
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CN 200510042345
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CN1806501B (en
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周正
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XIAMEN HUIYANG TECHNOLOGY Co Ltd
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XIAMEN HUIYANG TECHNOLOGY Co Ltd
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Abstract

An automatic identification method for ocean phytoplankton, comprising following steps: (1) making grape feature of known ocean phytoplankton be corresponding to its description and forming a data base of phytoplankton to store in computer memory in advance; (2) collecting grape feature of identifying phytoplankton with digital microscope and sending into computer; (3) comparing collected grape feature with that of in data base, and outputting description of known phytoplankton when the osculation reach a regulated value. The invention combines digital microscope with computer system to identify ocean phytoplankton automatically, fast and accurately.

Description

Marine phytoplankton automatic distinguishing method and device
Technical field
The present invention relates to recognition methods and the device of marine phytoplankton, specifically be meant the method and the device that utilize digital microscope and computer system that marine phytoplankton is discerned automatically.
Background technology
The phytoplankton classification identifies it is the important content of marine organisms research, the domestic and international at present method that all adopts light microscope manually to identify, promptly artificial geometry, the superficial makings that uses the microscopic examination marine phytoplankton, person's experience or search related data and compare according to the observation again is to judge the classification of phytoplankton to be identified.Obviously, this kind method is very consuming time, and operating efficiency is extremely low, and its accuracy depends on observer's knowledge and experience itself, and general personnel can't carry out.
Marine phytoplankton research has great importance for rationally utilizing marine resources, protection and improving marine environment.The marine phytoplankton classification identifies it is primary, the critical step of the research, basic effect is played in other research, therefore, seek a kind of accurately, high efficiency automatic identifying method, develop a kind of accuracy height, automatic identification equipment that recognition efficiency is high, will have great importance.
Summary of the invention
The invention provides a kind of marine phytoplankton automatic distinguishing method and device, its main purpose is to overcome original employing light microscope and carries out that artificial authentication method not only expends the plenty of time, efficient is extremely low, and its accuracy too relies on observer's knowledge and experience and defective that can not popularization and application.
The present invention adopts following technical scheme: marine phytoplankton automatic distinguishing method, may further comprise the steps: 1) that graphic feature and the description thereof of known marine phytoplankton is corresponding one by one, form a marine phytoplankton database, be stored in advance in the memory of calculator; 2) gather the graphic feature of marine phytoplankton to be identified with digital microscope, and be sent to calculator; 3) utilize calculator that the known marine phytoplankton graphic feature in the marine phytoplankton database in the marine phytoplankton graphic feature to be identified of digital microscope collection and the memory is contrasted one by one, when the identical rate of marine phytoplankton graphic feature to be identified and known marine phytoplankton graphic feature reaches a setting, the description of exporting this known marine phytoplankton.
In the preceding method, the graphic feature of marine phytoplankton comprises its length, width, area, aspect ratio, ovality, symmetry, superficial makings.
Preceding method further comprises: if there is not to reach with the identical rate of marine phytoplankton graphic feature to be identified the graphic feature of described setting in the marine phytoplankton database, graphic feature that then will this marine phytoplankton to be identified is increased in the marine phytoplankton database, and being this marine phytoplankton definition description, correspondence deposits the marine phytoplankton database in.
The marine phytoplankton automatic identification equipment comprises: a digital microscope as image collecting device is connected to a computer system; One computer system comprises: a graphic feature Database Unit is used to store graphic feature and the description thereof of known marine phytoplankton; One graphic feature extraction unit is used for the graphic feature by digital microscope extraction marine phytoplankton to be identified; One image identification unit, the graphic feature that is used for the marine phytoplankton that graphic feature that the graphic feature extraction unit is extracted and graphic feature Database Unit store contrasts one by one, when identical rate reaches a preset value, will be sent to output unit with the corresponding description of this marine phytoplankton; One output unit is used for result's output that image identification unit is sent.
In the aforementioned means, output unit is a PRN device or a display device.
By the above-mentioned description of this invention as can be known; the present invention creatively combines digital microscope and computer system; to be applied to the identification of marine phytoplankton; can be automatic; fast; identify marine phytoplankton exactly; improve recognition efficiency greatly; the artificial degree of participation of this identifying is lower; do not rely on operator's professional experiences; thereby can improve the marine monitoring ability of China and the technical merit of marine eco-environment fast monitored greatly; to protecting and improving marine environment and will play important effect, can be widely used in the marine ecology resource investigation; red tide research; environmental monitoring; aquaculture; the water ballast monitoring; water quality monitoring; geology; oil exploration; little algae cultivation and drug development and legal medical expert such as identify at the field.
Description of drawings
Fig. 1 is system architecture of the present invention and data flow schematic diagram;
Fig. 2 is a flow chart of the present invention.
Specific embodiment
Below in conjunction with Fig. 1 and Fig. 2, describe a specific embodiment of the present invention in detail.
With reference to Fig. 1, be the system construction drawing of marine phytoplankton automatic identification equipment of the present invention, this device comprises a digital microscope 1, one computer system 2 and an output unit 3.
Digital microscope 1 is a prior art, can buy from the existing market, is mainly used in the collection of marine phytoplankton image in this device, and this digital microscope 1 can pass through various standard interfaces, is connected to computer system 2 as USB interface.
Computer system 2 adopts existing common PC to get final product, its CPU, internal memory, hard disk size and interface configuration can be configured as required, and its operating system adopts Microsoft Windows 2000Server Simplified ChineseVersion with Service Pack 4.Output unit 3 is a display or printer, is connected to computer system 2 by standard display interface or standard print interface, can be other output equipment also, is used for showing or printing recognition result.
Graphic feature extraction unit 21, graphic feature Database Unit 22, image identification unit 23 are for being installed on the software on the computer system 2, and the developing instrument that this software adopted is as follows:
The development environment of system adopts Microsoft Visual Studio.NET 2003, develops based on Microsoft WebService technology;
System design aids adopts Microsoft Visio 2003 for Visual Studio;
The system documentation instrument adopts Microsoft Word 2000, Microsoft Excel 2000;
Operating system adopts Microsoft Windows 2000 Server Simplified Chinese Version withService Pack 4, and Microsoft Internet Explore 6.0 or above version are installed, the above version of Microsoft XML3.0 is used for the support of XML;
The source code control tool adopts Microsoft SourceSafe 6;
Microsoft Project 2000 is adopted in project process control;
Testing tool adopts Microsoft Test Center 1.2;
Background data base adopts Mi crosoft SQL server 2000.
Above-mentioned developing instrument is adopted by present embodiment, but is not limited thereto, and in like manner can adopt other developing instrument to develop, even software solidification can be realized in hardware chip.Below in conjunction with Fig. 1, Fig. 2 the course of work of this system is described.
The graphic feature that has known marine phytoplankton in the graphic feature Database Unit 22 in advance, and, the graphic feature of each marine phytoplankton is described corresponding to one, and this description has comprised the relevant information of this kind marine phytoplankton, as title, characteristics, affiliated classification or the like.
Digital microscope 1 collects the image of marine phytoplankton to be identified, be sent to computer system with certain picture format, this picture format can be the general image form, as JPG, TIF etc., 21 pairs of these images of graphic feature extraction unit are analyzed, extract its graphic feature, comprise its length, width, area, aspect ratio, ovality, symmetry, superficial makings or the like, image identification unit 23 compares the graphic feature of extraction and first graphic feature in the graphic feature Database Unit 22, when identical rate during more than or equal to a predetermined value, the then description of exporting these graphic feature correspondences by output unit 3, if the rate of coincideing is less than this predetermined value, then check last graphic feature that whether has contrasted in the graphic feature Database Unit 22, if not, then the graphic feature of extraction and next graphic feature in the graphic feature Database Unit 22 are compared, so constantly circulation, if arrived last graphic feature in the graphic feature Database Unit 22, and still do not find the graphic feature that reaches this predetermined value with the identical rate of the graphic feature of marine phytoplankton to be identified, graphic feature that then will this marine phytoplankton to be identified is increased in the graphic feature Database Unit 22, and the operator can be description of graphic feature definition of this marine phytoplankton to be identified, and import by the input equipment such as the keyboard of computer system 2, computer system 2 should be described correspondence and be deposited in the graphic feature Database Unit 22.
As seen, this system can not only discern marine phytoplankton automatically, also provides inlet for newfound marine phytoplankton joins in the graphic feature Database Unit 22, thereby can make constantly self-perfection of system itself.
Above-mentioned only is a specific embodiment of the present invention, but design concept of the present invention is not limited thereto, and allly utilizes this design that the present invention is carried out the change of unsubstantiality, all should belong to the behavior of invading protection domain of the present invention.

Claims (5)

1, marine phytoplankton automatic distinguishing method may further comprise the steps:
1) graphic feature and the description thereof of known marine phytoplankton is corresponding one by one, form a marine phytoplankton database, be stored in advance in the memory of calculator;
2) gather the graphic feature of marine phytoplankton to be identified with digital microscope, and be sent to calculator;
3) utilize calculator that the known marine phytoplankton graphic feature in the marine phytoplankton database in the marine phytoplankton graphic feature to be identified of digital microscope collection and the memory is contrasted one by one, when the identical rate of marine phytoplankton graphic feature to be identified and known marine phytoplankton graphic feature reaches a setting, the description of exporting this known marine phytoplankton.
2, marine phytoplankton automatic distinguishing method as claimed in claim 1, wherein, the graphic feature of marine phytoplankton comprises its length, width, area, aspect ratio, ovality, symmetry, superficial makings.
3, marine phytoplankton automatic distinguishing method as claimed in claim 1, further comprise: if there is not to reach the graphic feature of described setting in the marine phytoplankton database with the identical rate of marine phytoplankton graphic feature to be identified, graphic feature that then will this marine phytoplankton to be identified is increased in the marine phytoplankton database, and being this marine phytoplankton definition description, correspondence deposits the marine phytoplankton database in.
4, marine phytoplankton automatic identification equipment comprises:
One digital microscope as image collecting device is connected to a computer system;
One computer system comprises: a graphic feature Database Unit is used to store graphic feature and the description thereof of known marine phytoplankton; One graphic feature extraction unit is used for the graphic feature by digital microscope extraction marine phytoplankton to be identified; One image identification unit, the graphic feature that is used for the marine phytoplankton that graphic feature that the graphic feature extraction unit is extracted and graphic feature Database Unit store contrasts one by one, when identical rate reaches a preset value, will be sent to output unit with the corresponding description of this marine phytoplankton;
One output unit is used for result's output that image identification unit is sent.
5, marine phytoplankton automatic identification equipment as claimed in claim 3, wherein, described output unit is a PRN device or a display device.
CN 200510042345 2005-01-17 2005-01-17 Marine phytoplankton automatic distinguishing method and apparatus Expired - Fee Related CN1806501B (en)

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Application Number Priority Date Filing Date Title
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Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101165708B (en) * 2006-10-19 2010-05-26 华硕电脑股份有限公司 Image identification method and system
CN101975849A (en) * 2010-09-25 2011-02-16 宁波大学 Quick qualitatively and quantitatively optimizing method of phytoplankton
CN102169582A (en) * 2011-04-22 2011-08-31 中科怡海高新技术发展江苏股份公司 Pattern-identification-based blue-green alga identification method
CN101403741B (en) * 2008-10-20 2012-07-18 中国科学院合肥物质科学研究院 Plant leaf digital information collection and automatic recognition system and method based on multiple optical spectrum
CN103345617A (en) * 2013-06-19 2013-10-09 成都中医药大学 Method and system for recognizing traditional Chinese medicine
JP2016095259A (en) * 2014-11-17 2016-05-26 横河電機株式会社 Plankton measurement system and plankton measurement method
CN106525855A (en) * 2016-12-07 2017-03-22 无锡艾科瑞思产品设计与研究有限公司 Residual quantity detection system for hospital plate washer
CN107153844A (en) * 2017-05-12 2017-09-12 上海斐讯数据通信技术有限公司 The accessory system being improved to flowers identifying system and the method being improved
CN107330440A (en) * 2017-05-17 2017-11-07 天津大学 Sea state computational methods based on image recognition
CN109165596A (en) * 2018-08-24 2019-01-08 福建铁工机智能机器人有限公司 A kind of agricultural product source tracing method based on wisdom rural area AI system
CN109490301A (en) * 2018-10-24 2019-03-19 深圳市锦润防务科技有限公司 It is a kind of for monitor on floating platform adhere to analyte detection method, system and storage medium
CN110458107A (en) * 2019-08-13 2019-11-15 北京百度网讯科技有限公司 Method and apparatus for image recognition

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101165708B (en) * 2006-10-19 2010-05-26 华硕电脑股份有限公司 Image identification method and system
CN101403741B (en) * 2008-10-20 2012-07-18 中国科学院合肥物质科学研究院 Plant leaf digital information collection and automatic recognition system and method based on multiple optical spectrum
CN101975849A (en) * 2010-09-25 2011-02-16 宁波大学 Quick qualitatively and quantitatively optimizing method of phytoplankton
CN101975849B (en) * 2010-09-25 2013-07-17 宁波大学 Quick qualitatively and quantitatively optimizing method of phytoplankton
CN102169582A (en) * 2011-04-22 2011-08-31 中科怡海高新技术发展江苏股份公司 Pattern-identification-based blue-green alga identification method
CN102169582B (en) * 2011-04-22 2013-06-12 中科怡海高新技术发展江苏股份公司 Pattern-identification-based blue-green alga identification method
CN103345617A (en) * 2013-06-19 2013-10-09 成都中医药大学 Method and system for recognizing traditional Chinese medicine
CN103345617B (en) * 2013-06-19 2016-09-07 成都中医药大学 Chinese medicine knows method for distinguishing and system thereof
JP2016095259A (en) * 2014-11-17 2016-05-26 横河電機株式会社 Plankton measurement system and plankton measurement method
CN106525855A (en) * 2016-12-07 2017-03-22 无锡艾科瑞思产品设计与研究有限公司 Residual quantity detection system for hospital plate washer
CN107153844A (en) * 2017-05-12 2017-09-12 上海斐讯数据通信技术有限公司 The accessory system being improved to flowers identifying system and the method being improved
CN107330440A (en) * 2017-05-17 2017-11-07 天津大学 Sea state computational methods based on image recognition
CN109165596A (en) * 2018-08-24 2019-01-08 福建铁工机智能机器人有限公司 A kind of agricultural product source tracing method based on wisdom rural area AI system
CN109490301A (en) * 2018-10-24 2019-03-19 深圳市锦润防务科技有限公司 It is a kind of for monitor on floating platform adhere to analyte detection method, system and storage medium
CN110458107A (en) * 2019-08-13 2019-11-15 北京百度网讯科技有限公司 Method and apparatus for image recognition

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