CN203414962U - Intelligent terminal-based plant leaf recognition device - Google Patents
Intelligent terminal-based plant leaf recognition device Download PDFInfo
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- CN203414962U CN203414962U CN201320438588.XU CN201320438588U CN203414962U CN 203414962 U CN203414962 U CN 203414962U CN 201320438588 U CN201320438588 U CN 201320438588U CN 203414962 U CN203414962 U CN 203414962U
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Abstract
The utility model relates to an intelligent terminal-based plant leaf recognition device. The intelligent terminal-based plant leaf recognition device includes an intelligent terminal, a database server and an application server; the intelligent terminal includes an operation module, an image acquisition device, an image processing device and an image transmission device, wherein the operation module, the image acquisition device, the image processing device and the image transmission device are connected with one another sequentially, and the image transmission device is connected with the database server and the application server respectively. The intelligent terminal-based plant leaf recognition device of the utility model performs analysis and processing on an acquired plant leaf image, and functions such as image acquisition, segmentation, display, classification, storage and retrieval are integrated on one entity. Compared with the prior art, the intelligent terminal-based plant leaf recognition device of the utility model has the advantages of portable convenience, suitability for leaf acquisition of field workers in the nature, emphasis on man-machine interaction, easy operation, and high efficiency and real-time image processing.
Description
Technical field
The utility model relates to Digital Image Processing and mode identification technology, especially relates to a kind of plant leaf blade recognition device based on intelligent terminal.
Background technology
Nearly 400000 Plants on the earth, China is second-biggest-in-the-world plant species resources bank.The classification of plant species is the important foundation work of botany research and agricultural production with identification, it is human knowledge plant, grasp the evolution laws of plant, understand the fundamental characteristics of plant and the basis being used, can be applicable to the fields such as diseases and pests of agronomic crop identification, crop growth monitoring, simultaneously with agriculture, woods, herd, also close relation of the field such as pair, fishing, traditional Chinese medicine.Traditional Plant Taxonomy study general needs manual measurement, obtains data the sample gathering, the surface of comprehensive plant, classifies by people's common sense, and this method workload is huge, and subjective, cause the possibility of identification error large.Along with the fast development of the technology such as machine learning, pattern-recognition, image processing, the powerful calculating ability that we can computer, carries out quick and objective classification to plant.In the root of plant, stem, leaf, flower, fruit, the large organ of seed six, leaf is relatively large with its quantity, and growth cycle is relatively short, and gathering the advantage such as convenient, injury is less becomes the first-selection of carrying out plant identification.Due to the difference of growing environment, the difference of gene, the blade of different plants has either large or small difference on shape, texture, therefore gathers the image of blade, obtains its characteristic parameter, will make people classify accurately to plant.
Modern plant leaf blade recognition system is by obtaining the leaf image that quality is higher, image is carried out to morphologic pre-service, be partitioned into interested part, then by efficient algorithm, extract the characteristic parameter of image, finally characteristic parameter is sent into sorter, obtain result.Be about to image processing and be applied on leaf image with the theory and technology of machine learning, reach the object of classification and identification.
Past 10 years, the countries such as America and Europe constantly appeal to adopt Digital Image Processing and mode identification technology that plant species is identified and realized full-automatic or semi-automatic computer aided calculation, the people such as Milanie Thibaut are in the sort research that Salicaceous Plants is carried out, and the people such as T.Saitoh identify the plant of wild species at work with the image of flower and blade.Only have in the world at present Columbia Univ USA and Smith's botany can be in exploitation the mobile phone based on IOS system and the plant leaf blade recognition system of panel computer.And the domestic plant leaf blade identification software there is no based on mobile device.
Rise along with Android system, a large amount of mobile devices comprises that mobile phone, panel computer have all adopted this powerful embedded OS, in November, 2012, data showed, Android occupies the share in global operation system of smart phone market 76%, and Chinese market occupation rate is 90%.Because the growing environment of plant is substantially all outdoor, traditional desktop computer, notebook is not suitable for carrying to gather identification plant leaf blade, and handheld device volume is little, be convenient for carrying, and the arrival in the universal and 3G epoch of camera system, will extremely be conducive to utilize mobile phone, flat board etc. to gather blade, by the form of unit or networking, plant leaf blade be carried out to processing and identification.
Utility model content
The purpose of this utility model is exactly to provide a kind of plant leaf blade recognition device based on intelligent terminal in order to overcome the defect of above-mentioned prior art existence.
The purpose of this utility model can be achieved through the following technical solutions: a kind of plant leaf blade recognition device based on intelligent terminal, it is characterized in that, comprise intelligent terminal, database server and application server, described intelligent terminal comprises operational module, image acquisition device, image processor and image transmitting device, described operational module, image acquisition device, image processor, image transmitting device connect successively, and described image transmitting device is connected with application server with database server respectively.
Described operational module comprises display screen and function button, and described display screen is connected with function button.
Described display screen is capacitive touch screen.
Described image acquisition device comprises camera and storage card.
Described image transmitting device comprises GPRS and Wifi.
Described intelligent terminal comprises Android smart mobile phone, panel computer.
Described intelligent terminal also comprises GPS steady arm, and described GPS steady arm one end is connected with operational module, and the other end is connected with application server with database server respectively.
The utility model carries out analyzing and processing to the leaf image collecting, by image acquisition, cut apart, the function such as displaying, classification, storage, retrieval is integrated in one.Compared with prior art, the utility model is easy to carry, is suitable for field worker the Nature blade is gathered; Focus on man-machine interaction, processing ease; It is real-time, efficient that image is processed.
Accompanying drawing explanation
Fig. 1 is structured flowchart of the present utility model.
Embodiment
Below in conjunction with the drawings and specific embodiments, the utility model is elaborated.
As shown in Figure 1, a kind of plant leaf blade recognition device based on intelligent terminal, it is characterized in that, comprise intelligent terminal 1, database server 2 and application server 3, described intelligent terminal 1 comprises operational module 11, image acquisition device 12, image processor 13 and image transmitting device 14, described operational module 11, image acquisition device 12, image processor 13, image transmitting device 14 connect successively, and described image transmitting device 14 is connected with application server 3 with database server 2 respectively.Described intelligent terminal 11 also comprises GPS steady arm 16, and described GPS steady arm 16 one end are connected with operational module 11, and the other end is connected with application server 3 with database server 2 respectively.Described operational module 11 comprises display screen and function button, and described display screen is connected with function button.Described display screen is capacitive touch screen.Described image acquisition device 12 comprises camera and storage card.Described image transmitting device 14 comprises GPRS and Wifi.Described intelligent terminal comprises Android smart mobile phone, panel computer.
Device is classified to plant leaf blade: user controls camera collection image by operational module 11, or directly chooses the image in storage card; The processing such as 13 pairs of Image Segmentation Usings of image processor, feature extraction, then image is connected with application server 3 with database server 2 through image transmitting device 14, database server 2 and 13 pairs of images of application server 3 joint image processor carry out Classification and Identification, then result is returned to intelligent terminal 1, display screen shows result.
Device location: user controls GPS steady arm by operational module 11 this device position is positioned, GPS steady arm federated database servers 2 and the application server 3 acquisition device nigh plant information of institute and botanical garden information, and result is returned to intelligent terminal 1, display screen shows result.
Claims (7)
1. the plant leaf blade recognition device based on intelligent terminal, it is characterized in that, comprise intelligent terminal, database server and application server, described intelligent terminal comprises operational module, image acquisition device, image processor and image transmitting device, described operational module, image acquisition device, image processor, image transmitting device connect successively, and described image transmitting device is connected with application server with database server respectively.
2. a kind of plant leaf blade recognition device based on intelligent terminal according to claim 1, is characterized in that, described operational module comprises display screen and function button, and described display screen is connected with function button.
3. a kind of plant leaf blade recognition device based on intelligent terminal according to claim 2, is characterized in that, described display screen is capacitive touch screen.
4. a kind of plant leaf blade recognition device based on intelligent terminal according to claim 1, is characterized in that, described image acquisition device comprises camera and storage card.
5. a kind of plant leaf blade recognition device based on intelligent terminal according to claim 1, is characterized in that, described image transmitting device comprises GPRS and Wifi.
6. a kind of plant leaf blade recognition device based on intelligent terminal according to claim 1, is characterized in that, described intelligent terminal comprises Android smart mobile phone, panel computer.
7. a kind of plant leaf blade recognition device based on intelligent terminal according to claim 1, it is characterized in that, described intelligent terminal also comprises GPS steady arm, and described GPS steady arm one end is connected with operational module, and the other end is connected with application server with database server respectively.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201320438588.XU CN203414962U (en) | 2013-07-22 | 2013-07-22 | Intelligent terminal-based plant leaf recognition device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201320438588.XU CN203414962U (en) | 2013-07-22 | 2013-07-22 | Intelligent terminal-based plant leaf recognition device |
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| CN203414962U true CN203414962U (en) | 2014-01-29 |
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| CN201320438588.XU Expired - Fee Related CN203414962U (en) | 2013-07-22 | 2013-07-22 | Intelligent terminal-based plant leaf recognition device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105404853A (en) * | 2015-10-29 | 2016-03-16 | 江南大学 | Content-based plant leaf online recognition system |
| CN108073947A (en) * | 2017-04-10 | 2018-05-25 | 大连大学 | A kind of method for identifying blueberry kind |
-
2013
- 2013-07-22 CN CN201320438588.XU patent/CN203414962U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105404853A (en) * | 2015-10-29 | 2016-03-16 | 江南大学 | Content-based plant leaf online recognition system |
| CN108073947A (en) * | 2017-04-10 | 2018-05-25 | 大连大学 | A kind of method for identifying blueberry kind |
| CN108073947B (en) * | 2017-04-10 | 2021-08-27 | 大连大学 | Method for identifying blueberry varieties |
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Legal Events
| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20140129 Termination date: 20160722 |
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| CF01 | Termination of patent right due to non-payment of annual fee |