CN203414481U - Grape shoot growth rate measurement system based on machine vision - Google Patents
Grape shoot growth rate measurement system based on machine vision Download PDFInfo
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- CN203414481U CN203414481U CN201320533907.5U CN201320533907U CN203414481U CN 203414481 U CN203414481 U CN 203414481U CN 201320533907 U CN201320533907 U CN 201320533907U CN 203414481 U CN203414481 U CN 203414481U
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Abstract
The utility model discloses a grape shoot growth rate measurement system based on machine vision. The system comprises a benchmark which is fixed beside a grape shoot and has a known length which is used as the length basis of image processing, a photographing unit which is fixed by a support unit, aims at the grape shoot and the benchmark, and is used for photographing photos with the images of the grape shoot and the complete benchmark, a processing control unit which is used for controlling the photographing unit to carry out timing photographing, carries out image processing and analyzing on the photographed photos, and calculates the growth length of the grape shoot between two times of photographing to acquire the growth rate of the grape shoot. The system provided by the utility model can carry out automatic timing nondestructive measurement on the growth condition of the grape shoot, has the advantage of accurate data, and can overcome the adverse effect of the movement of a camera lens on a measurement result.
Description
Technical field
The utility model relates to field of machine vision, more specifically relates to a kind of grape young sprout growth rate measuring system based on machine vision.
Background technology
The new-tip length of grape and growth rate are the important indicators that agri-scientific research personnel study grape growth.At present in actual application, to the measuring method of grape new-tip length and growth rate, it is mainly manual measurement, be by operating personnel, to utilize rule to measure the length of grape young sprout at set intervals every day, the length that utilization records and the growth rate of Time Calculation young sprout.This mode working strength large and also due to the subjectivity reason of survey crew be difficult to guarantee all day especially night measurement data accuracy and integrality.Along with the development of machine vision technique, as a kind of technology of nondestructive measurement, caused people's attention, can realize the contactless automatic measurement of target and be convenient to automatic processing, be suitable for very much the automatic measurement of grape young sprout growth rate.
The Central China University of Science and Technology has proposed a kind of method for automatic measurement (CN101929843B of spike length of rice, 2013.02.20), first the method gathers Culm of Rice sample, is positioned over to place after being taken by panorama camera on plate to be undertaken after image is processed calculating spike of rice length by computing machine.But this kind of method needs collected specimens in advance, and the spike of rice sample collecting is positioned over and is placed on plate.And the measurement of grape young sprout is generally to fix one or several young sprouts, adopt this method to there is destructiveness and be unfavorable for continuing study, so this method is not suitable for the new-tip length measurement of grape.
Beijing Research Center for Agriculture Information Technology has proposed a kind of corn plant growth rate measuring method (CN102288776B, 2013.04.24), the method is drawn mark on milpa to be measured, uses binocular camera to gather the two width images of this milpa to be measured simultaneously; Analyze and process described two width images, calculating the three-dimensional coordinate of the central point of mark, and then calculating the average growth rate of described milpa to be measured in a period of time.But this method need to make marks on tested plant, and the measurement of grape young sprout need to be surveyed young sprout top to the length of end, and because growing on top always, mark is difficult to be positioned over top, is marked on middle part and can causes measuring error larger.And system described above is used computing machine to process image, be unfavorable for on-the-spot daytime measurement in real time.
In sum, the singularity because grape young sprout is measured, is difficult to mark during measurement, and can not affect young sprout growth, and survey frequency is had relatively high expectations and on-the-spot portability and specificity be there are certain requirements.And current measuring system or need collected specimens affects the normal growth of young sprout, or need to make marks, be difficult to realize or easily cause error on grape young sprout on measured target.In addition, current described system utilizes computing machine to carry out image processing mostly, because of agricultural environment inclement condition, computing machine is subject to the impact of high temperature, high humidity, rainwater, low temperature etc., be unfavorable for on-the-spot continual measurements in 24 hours, and general computing machine is without the hardware configuration of processing for image specially, and real-time is not high and image processing algorithm design is complicated, and treatment effeciency is low.Because grape young sprout growth rate at night is fast than daytime, also to realize the automatic measurement to the growth rate of each period especially night.Therefore, be badly in need of a kind of special-purpose system or method that grape young sprout growth nothing is affected, can be showed field real-time measurement.
Utility model content
(1) technical matters that will solve
The technical problems to be solved in the utility model is: how to utilize the means of machine vision to realize the nondestructive measurement to the self-timing of grape young sprout growth rate.
(2) technical scheme
For solving the problems of the technologies described above, the utility model provides a kind of grape young sprout growth rate measuring system based on machine vision, and this system comprises:
Mark post, is fixed to the side of grape young sprout, and it has known length, the length standard of processing as image;
Camera unit, is fixed by carrier unit, aims at grape young sprout and mark post, has the photo of grape young sprout and complete mark post for shooting picture;
Processing and control element (PCE), regularly takes a picture for controlling camera unit, and the photo photographing is carried out to image processing and analyzing, calculates the length of grape young sprout growth between twice shooting, thereby obtains grape young sprout growth rate.
Preferably, this system also comprises:
Optical sensor, the ambient lighting intensity when taking pictures;
Light compensating lamp, for the intensity of illumination that detects when optical sensor during lower than setting threshold and carry out light filling during taking a picture.
Preferably, this system also comprises:
Wireless module, is connected in described processing and control element (PCE), the grape young sprout growth rate obtaining for transmission processing control module.
Preferably, this system also comprises:
Carrier unit, camera unit is fixed thereon, and can adjust the orientation that camera unit is taken pictures, so that the upper and lower side of mark post is all in photo.
Preferably, this system also comprises:
Human-computer interaction interface, for arranging take pictures parameter and demonstration.
(3) beneficial effect
The utility model adopts the grape young sprout growth rate measuring system based on machine vision, on the impact of grape young sprout growth nothing, can self-timing nondestructive measurement after setting, can replace manual measurement in the past, thereby avoided manual measurement working strength large, the not high shortcoming of data confidence level and integrity degree has broad application prospects aspect the growing of research grape and similar plants; Meanwhile, the length standard that adopts the mark post of known length to process as image, makes data result accurate, even and camera lens move the accuracy that does not also affect measurement.
Accompanying drawing explanation
Fig. 1 is according to the schematic diagram of the grape young sprout growth rate measuring system based on machine vision of an embodiment of the utility model;
Fig. 2 is according to the structured flowchart of the processing and control element (PCE) of the grape young sprout growth rate measuring system based on machine vision of an embodiment of the utility model;
Fig. 3 is according to the process flow diagram of the measuring method of the grape young sprout growth rate measuring system based on machine vision of an embodiment of the utility model.
Embodiment
Below in conjunction with drawings and Examples, embodiment of the present utility model is described in further detail.Following examples are only for the utility model is described, but can not be used for limiting scope of the present utility model.
As shown in Figure 1, show the grape young sprout growth rate measuring system based on machine vision according to an embodiment of the utility model, this system comprises: camera unit 1, processing and control element (PCE) 2, wireless module 3, The Cloud Terrace 4, support 5, base 6, optical sensor 7, light compensating lamp 8, mark post 9.
Mark post 9, is fixed to the side of grape young sprout, has known length, the length standard of processing as image.
Camera unit 1, comprises camera lens, imageing sensor, for obtaining the image of grape young sprout.Camera lens adopts large depth of field video monitoring camera lens, can clearly present scenery far and near in the visual field; Imageing sensor adopts CCD or cmos image sensor, has higher image quality.Wherein light enters camera unit through camera lens, and forms analog picture signal after imageing sensor.
Processing and control element (PCE) 2, structured flowchart as shown in Figure 2, comprise microcontroller 21, image input AD modular converter 22, memory module 23, human-computer interaction interface 24, as the core of controlling and processing, being used for controlling camera unit 1 carries out timing or takes pictures as required, and receive the view data that camera unit 1 gathers and process, the result after processing is kept in to memory module 23 and/or sent to wireless module 3.
Wherein, the microcontroller 21 of described processing and control element (PCE) 2 can be ARM+DSP kernel, for example, adopt the TMS320DM365 of ARM+DSP kernel of TI as the controller of system; This preferred implementation is as follows: the B7 pin (ADC_CH1) of TMS320DM365 connects the 4-20ma interface of optical sensor 7, E2 pin (UART0_RXD), E3 pin (UART0_TXD) connect The Cloud Terrace 4, E4 pin (UART1_RXD), T1 pin (UART1_TXD) connect wireless module 3, J16 pin (MMSSD0_CLK), H15 pin (MMCSD0_CMD), H15 pin (MMCSD0_CMD), H16-H18 pin (MMCSD0_DATA) connect memory module 23, YIN0-YIN7 pin, CIN0-CIN7 pin map interlinking picture input AD modular converter 22, SPI1 pin connects human-computer interaction interface 24.
Wherein, the AD conversion chip of the image of processing and control element (PCE) 2 input AD modular converter 22 for example can be selected TVP5146.
Wherein, the memory module 23 of processing and control element (PCE) 2 is for example SD card.
Wherein, the human-computer interaction interface 24 of processing and control element (PCE) 2 is for example touch-screen.
In Fig. 1, camera unit 1 is shown and processing and control element (PCE) 2 combines, in other embodiments, camera unit 1 and processing and control element (PCE) 2 also can arrange respectively.
Light compensating lamp 8, for example, be array white light, is connected in processing and control element (PCE) 2 and receives its instruction unpack or close.
Carrier unit is comprised of The Cloud Terrace 4, support 5 and base 6.
The Cloud Terrace 4 is RS485 interface, is connected in described processing and control element (PCE) 2, can adjust the photograph orientation of camera unit 1.
Camera unit 1, processing and control element (PCE) 2, wireless module 3, The Cloud Terrace 4, support 5, base 6 optical sensors 7, light compensating lamp 8 and mark post 9, all do outdoor water-proof protection against the tide and high temperature resistant processing.
The following describes according to the measuring method of the grape young sprout growth rate measuring system based on machine vision of the present utility model, as shown in Figure 3, use the method for this system mainly to comprise the steps:
S1: the mark post with known length is fixed to the side of grape young sprout, the length standard of processing as image.
S2: camera unit is fixed on carrier unit, aims at grape young sprout and mark post.In this step, can also carry out setting parameter, open system power supply, according to the grape growth stage, human-computer interaction interface by processing and control element (PCE) is set image acquisition parameter, comprise: the time of taking pictures, number of times, position, illumination threshold value, after setting completes, processing and control element (PCE) is controlled after the power supply that cuts off The Cloud Terrace, camera unit, optical sensor, light compensating lamp, and wireless module and processing and control element (PCE) enter dormant state.
S3: use camera unit BR picture to have the photo of grape young sprout and complete mark post.Be specifically as follows: when the image acquisition of setting arrives constantly, wake up process control module, connects the power supply of The Cloud Terrace, camera unit, optical sensor, light compensating lamp, and controls camera unit and take pictures by the parameter of setting.When optical sensor detects intensity of illumination and is less than the threshold value of setting, the front opening light compensating lamp of taking pictures, takes pictures after finishing and closes light compensating lamp.After having taken pictures, close the power supply of The Cloud Terrace, camera unit, optical sensor, light compensating lamp.
S4: use processing and control element (PCE) to carry out image processing and analyzing to the photo photographing, calculate the length of grape young sprout growth between twice shooting.Be specifically as follows: processing and control element (PCE) carries out image processing by the photo of the camera unit receiving, calculate grape new-tip length now and with result comparison last time, calculate the length that grape young sprout is grown between twice shooting, thereby obtain grape young sprout growth rate, result store also can be shown at human-computer interaction interface in local storage system, all right wake on wireless module, result is sent to far-end server, is sent completely the arrival that rear wireless module and processing and control element (PCE) enter dormant state and wait for next photo opporunity.
The method that step S4 processes and calculates picture can be:
S4.1: image pre-service.Processing controls and display unit carry out pre-service by the image obtaining, and after the DSP of microcontroller kernel carries out image gray processing processing, filtering, binaryzation, profile extraction, generate the contour images of scale and young sprout.
S4.2: new-tip length coefficient calculations.Identify the coordinate of two end points up and down of the side of close young sprout profile on scale profile, identify the coordinate on young sprout profile top, from young sprout profile top to described two end points institute line sections, make vertical line, try to achieve the coordinate of joining, thereby obtain joining and to the length of described lower extreme point institute line section, account for the ratio of the length of described two end points institute line sections, be designated as the new-tip length coefficient this time recording.
S4.3: young sprout growth length calculates.The new-tip length coefficient recording is specifically deducted to the new-tip length coefficient recording last time, be then multiplied by the length of scale, obtain the length that young sprout is grown between taking pictures for twice.
The speed of growth of considering grape young sprout is very fast, also can between taking pictures for twice, mark post upwards be moved, and writes down the length moving up, and typing man-machine interactively interface, when calculating the growth length of young sprout next time, adds the length that mark post moves up.
By system of the present utility model, can obtain grape young sprout at the growth length of each period, thereby obtain grape young sprout in the growth rate of each period and can draw growth curve.
As can be seen from the above-described embodiment, the utility model adopts the grape young sprout growth rate measuring system based on machine vision, on the impact of grape young sprout growth nothing, can self-timing nondestructive measurement after setting, can replace manual measurement in the past, thereby avoided manual measurement working strength large, the not high shortcoming of data confidence level and integrity degree has broad application prospects aspect the growing of research grape and similar plants; Meanwhile, the length standard that adopts the mark post of known length to process as image, makes data result accurate, even and camera lens move the accuracy that does not also affect measurement.
Above embodiment is only for the utility model is described, but not to restriction of the present utility model.Although the utility model is had been described in detail with reference to embodiment; but those of ordinary skill in the art is to be understood that; the technical solution of the utility model is carried out to various combinations, revises or is equal to replacement; it does not depart from principle of the present utility model and spirit, within all should be encompassed in the protection domain of claim of the present utility model.
Claims (5)
1. the grape young sprout growth rate measuring system based on machine vision, is characterized in that, this system comprises:
Mark post, is fixed to the side of grape young sprout, and it has known length, the length standard of processing as image;
Camera unit, is fixed by carrier unit, aims at grape young sprout and mark post, has the photo of grape young sprout and complete mark post for shooting picture;
Processing and control element (PCE), regularly takes a picture for controlling camera unit, and the photo photographing is carried out to image processing and analyzing, calculates the length of grape young sprout growth between twice shooting, thereby obtains grape young sprout growth rate.
2. the grape young sprout growth rate measuring system based on machine vision claimed in claim 1, this system also comprises:
Optical sensor, the ambient lighting intensity when taking pictures;
Light compensating lamp, for the intensity of illumination that detects when optical sensor during lower than setting threshold and carry out light filling during taking a picture.
3. the grape young sprout growth rate measuring system based on machine vision claimed in claim 1, this system also comprises:
Wireless module, is connected in processing and control element (PCE), the grape young sprout growth rate obtaining for transmission processing control module.
4. the grape young sprout growth rate measuring system based on machine vision claimed in claim 1, this system also comprises:
Carrier unit, camera unit is fixed thereon, and can adjust the orientation that camera unit is taken pictures, so that the upper and lower side of mark post is all in photo.
5. the grape young sprout growth rate measuring system based on machine vision claimed in claim 1, this system also comprises:
Human-computer interaction interface, for arranging take pictures parameter and demonstration.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201320533907.5U CN203414481U (en) | 2013-08-29 | 2013-08-29 | Grape shoot growth rate measurement system based on machine vision |
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| CN201320533907.5U CN203414481U (en) | 2013-08-29 | 2013-08-29 | Grape shoot growth rate measurement system based on machine vision |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112136453A (en) * | 2020-09-23 | 2020-12-29 | 四川省农业科学院茶叶研究所 | Method for accurately applying nitrogen fertilizer to tea trees and application of method |
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2013
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112136453A (en) * | 2020-09-23 | 2020-12-29 | 四川省农业科学院茶叶研究所 | Method for accurately applying nitrogen fertilizer to tea trees and application of method |
| CN112136453B (en) * | 2020-09-23 | 2023-04-18 | 四川省农业科学院茶叶研究所 | Method for accurately applying nitrogen fertilizer to tea trees and application of method |
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Granted publication date: 20140129 |