CN101349655A - Automatic measuring device and method of plant tillering number - Google Patents
Automatic measuring device and method of plant tillering number Download PDFInfo
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- CN101349655A CN101349655A CNA2008100484466A CN200810048446A CN101349655A CN 101349655 A CN101349655 A CN 101349655A CN A2008100484466 A CNA2008100484466 A CN A2008100484466A CN 200810048446 A CN200810048446 A CN 200810048446A CN 101349655 A CN101349655 A CN 101349655A
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Abstract
The invention relates to a device and a method for automatically measuring the tiller number of plant, wherein the device comprises a pipeline system, an X-ray imaging system, an electric universal stage, a universal stage controller, a computer and an image gathering card, wherein the electric universal stage is connected with the universal stage controller and the computer in turn, and the X-ray imaging system is connected with the image gathering card and the computer in turn. The device is controlled by a computer, and the method comprises adopting the pipeline system to deliver samples which are waiting to extract parameter to the electric universal stage, shooting and projecting sine images by the X-ray imaging system, doing slice reconstruction for images by the computer, and calculating out the tiller number of plant from the reconstruction results. The device utilizes an X-ray faultage imaging method, which extracts the tiller number from the images which are reconstructed, and has the advantages of security, non destruction, accurate and reliable measurement results and the like.
Description
Technical field
The invention belongs to digital image processing techniques, be specifically related to a kind of plant tillering number self-operated measuring unit and method, this device can be discerned the tiller number of plant automatically, is applicable to the digitizing agriculture field.
Background technology
Digital Image Processing and mode identification technology are developed rapidly in decades and are widely used in applications such as industrial automation, intelligent transportation, satellite remote sensing, military surveillance, biomedicine.The automatic extraction that utilizes digital image processing techniques to carry out plant parameter is a kind of very promising technology, especially in today that the digitizing agricultural is promoted day by day.Computer vision technique has begun to obtain basic subject researchists' such as botany concern, has occurred some ripe products abroad, domesticly also is in laboratory stage basically, and the personnel that are engaged in are also very limited.
Summary of the invention
The object of the present invention is to provide a kind of plant tillering number self-operated measuring unit and method, this device can be discerned the tiller number of plant automatically.
Plant tillering number self-operated measuring unit provided by the invention, comprise belt 1, buncher 2, air pump 3, pneumatic means 4, x-ray source 5, x ray detector 8, plumbous box 6, electric rotary table 7, universal stage controller 9, computing machine 10, image pick-up card 11, the belt 1 that sets up links to each other with buncher 2, air pump 3 is positioned at the belt outside and links to each other with the pneumatic means 4 of belt inside edge, assemble an electric rotary table 7 at pneumatic means 4 other belt middle parts, electric rotary table 7 links to each other with universal stage controller 9, universal stage controller 9 links to each other with computing machine 10 by serial ports again, x-ray source 5 is placed in the plumbous box 6, plumbous box 6 places the belt inboard, plumbous box has a circular port towards the middle part of detector one side, X-ray detector 8 is positioned at belt 1 outside, and x-ray source 5, electric rotary table 7 and X-ray detector 8 centers are on same straight line, x-ray source 5 and X-ray detector 8 are positioned on the same horizontal line, X-ray detector 8 links to each other with image pick-up card 11 by data-interface, and 11 of image pick-up cards pass through the PCI slot and are connected with computing machine 10.
The plant tillering number method for automatic measurement, carry out according to the following steps: (1) is adorned plant with basin and is put into when being delivered to electric rotary table on the belt, drive pneumatic means by air pump paddy rice is pushed to electric rotary table, the rotation of computer control universal stage, surveyed by linear array X-ray detector 8 by the sample that the X ray transmission that the fan-beam x-ray source sent is crossed above the universal stage, be conveyed into computing machine by digital transmission line by image pick-up card again; (2) can try to achieve tiller number behind the computing machine process cross sectional reconstruction algorithm and the extraction algorithm of tillering.
The cross sectional reconstruction algorithm adopts convolutional filtering back projection method, and projection sinogram is directly revised in the spatial domain, is about to projection sinogram and a convolution function that designs in advance and carries out convolution algorithm, then convolution results is done back projection.The cross sectional reconstruction algorithm adopts convolutional filtering back projection method to be existing method.
The extraction algorithm of tillering carries out according to the following steps: (1), medium filtering: the image that reconstructs is carried out medium filtering remove noise; (2), maximum entropy automatic threshold binaryzation: the image behind the medium filtering is converted into binary picture; (3), corrosion: what will be sticked together tillers separately; (4), fill: the aperture in will tillering is filled; (5), remove the zonule: set area threshold, remove the zonule of region area below threshold value; (6), zone counting: to through the image after the above-mentioned processing, carry out the counting of connected region, finally obtain tiller number.
The present invention is by default computer program control, adopt streamline, the sample of parameter to be extracted is served electric rotary table, take the projection sinogram picture by the X-ray imaging system, by computing machine the gained image is carried out cross sectional reconstruction, calculate the tiller number of plant from reconstructed results.
The present invention utilizes the x-ray tomography imaging method, extracts tiller number from the image that reconstructs, and has safety and nondestructive, measurement result and waits advantage accurately and reliably.
Description of drawings
Fig. 1 is the structural representation of plant parameter automatic extracting device of the present invention;
Fig. 2 is the extraction procedure FB(flow block) of tillering;
Fig. 3 is potted plant analysis result figure;
Fig. 4 is for compressing analysis result figure;
Fig. 5 is the analysis result detail view.
Embodiment
Below in conjunction with accompanying drawing and example invention is described in further detail.
As shown in Figure 1, the inventive system comprises belt 1, buncher 2, air pump 3, pneumatic means 4, fan-beam x-ray source 5, linear array x ray detector 8, plumbous box 6, electric rotary table 7, universal stage controller 9, computing machine 10, image pick-up card 11, the belt 1 that sets up links to each other with buncher 2, air pump 3 is positioned at the belt outside and links to each other with the pneumatic means 4 of belt inside edge, assemble an electric rotary table 7 at pneumatic means 4 other belt middle parts, electric rotary table 7 links to each other with universal stage controller 9, universal stage controller 9 links to each other with computing machine 10 by serial ports again, fan-beam x-ray source 5 is placed in the plumbous box 6, plumbous box 6 places the belt inboard, plumbous box has a circular port towards the middle part of detector one side, linear array X-ray detector 8 is positioned at belt 1 outside, and fan-beam x-ray source 5, electric rotary table 7 and linear array X-ray detector 8 centers are on same straight line, fan-beam x-ray source 5 and linear array X-ray detector 8 are positioned on the same horizontal line, linear array X-ray detector 8 links to each other with image pick-up card 11 by data-interface, and 11 of image pick-up cards pass through the PCI slot and are connected with computing machine 10.
Wherein, comprise that belt 1, buncher 2, air pump 3, pneumatic means 4 constitute pipeline system, fan-beam x-ray source 5 and linear array x ray detector 8 constitute x-ray imaging system, and device adopts the fan-beam x-ray source, send fan-ray beam, corresponding x ray detector also adopts linear array.
The basin dress transports by pipeline system by paddy rice.When paddy rice betransported the electric rotary table 7 that arrives the belt middle part, drive pneumatic means 4 by air pump 3 paddy rice is pushed to electric rotary table 7.Computer control universal stage rotation subsequently, x-ray imaging system is taken.After shooting finished, air pump drive pneumatic means was put back to belt with paddy rice again by universal stage and is transported.The X ray that is sent by fan-beam x-ray source 5 accumulates in the included zone of dotted line, the sample that transmission is crossed above the universal stage 7 is surveyed by linear array X-ray detector 8, be conveyed into computing machine 10 by digital transmission line by image pick-up card 11 again, can try to achieve tiller number behind the computing machine process cross sectional reconstruction and the extraction algorithm of tillering.X-ray source relatively more commonly used in the market has fladellum x-ray source and pencil-beam x-ray source.The fladellum radiographic source just scans a certain section, be used for single fault imaging, and the pencil-beam X ray is mainly used in the 3-D imaging system.The function of this device is to extract tiller number, only needs paddy rice is carried out two-dimentional cross sectional reconstruction, selects for use the fan-beam photosystem to meet the demands.Therefore, this device is selected fan-beam light source and linear array detector for use.With respect to the cone-beam light source, the dosage of fan-beam light source is less, and is safer; And linear array detector especially than the low price of area array detector many.
Measure and adopt the fan-beam photosystem, once gather a projection on the direction.The two-dimensional projection image that scans gained is called projection sinogram again carries out the CT cross sectional reconstruction.CT cross sectional reconstruction algorithm adopts convolutional filtering back projection method, and under the equidistant situation of fladellum X-ray detector implementation algorithm.
Through the faultage image that CT rebuilds out, need through image process method correct the splitting from image of will tillering with convenient counting.The main technological route of extraction algorithm of tillering is: operations such as zonule, zone counting are filled, removed to medium filtering, maximum entropy automatic threshold binaryzation, burn into.These operations belong to basic Flame Image Process content, therefore on algorithm, it are not done detailed introduction, and this several effects that operate in here just are described.
The extraction algorithm of tillering carries out according to the following steps: (1), medium filtering.In the process of cross sectional reconstruction, because the restriction of reconstruction algorithm or experiment condition itself, the image that reconstructs (gray-scale map) often contains noise, so remove noise through medium filtering earlier;
(2), maximum entropy automatic threshold binaryzation.This operation is used for image segmentation, and gray-scale map is converted into binary picture.Here the threshold value of binaryzation is based on that grey level histogram calculates;
(3), corrosion.The corrosion operation mainly is based on following consideration: if it is too close to tiller, to such an extent as to distance is very near between tiller and the tiller.At this moment, add this operation, tillering of being sticked together can be separated to a certain extent;
(4), fill.In image segmentation, may have some holes.Rice tillering also may have aperture in the middle of the section of tillering in withered.Use this operation aperture can be filled, convenient follow-up operation;
(5), remove the zonule.Through after the above-mentioned sequence of operations, may still there be some points not remove, direct census can cause erroneous results.Tiller because the area of these zonules generally is far smaller than, set area threshold, remove the zonule of region area below threshold value, to guarantee all tillering of counting;
(6), zone counting.To through the image after the above-mentioned processing, carry out the counting of connected region, finally obtain tiller number.
Example:
The experiment biomaterial:
Test 1 is for being in the long-grained nonglutinous rice of jointing stage, and plant height 92.1 ± 0.3cm transplants paddy rice to basin from Tanaka during test.
Test 2 in order to test the feasibility of this method under maximum conditions, is made sample with it for being in the long-grained nonglutinous rice in tillering stage.This sample has passed through compacting and fastening processing as shown in Figure 1, make tiller between the gap considerably less, closely adjacent, be used for simulating very many, the close situation of tillering.In this case, adopt artificial method also to be difficult to differentiate.
Fig. 3 is the sample gained result under the potted plant state of nature, can see the sectional view of tillering that the border is clear and definite among the figure.That Fig. 4 is used is the figure as a result of the sample through compressing processing.Fig. 5 differentiates detail view for analysis result.
Claims (3)
1, the plant tillering number self-operated measuring unit, comprise belt (1), buncher (2), air pump (3), pneumatic means (4), x-ray source (5), x ray detector (8), plumbous box (6), electric rotary table (7), universal stage controller (9), computing machine (10), image pick-up card (11), the belt that sets up (1) links to each other with buncher (2), air pump (3) is positioned at the belt outside and links to each other with the pneumatic means (4) of belt inside edge, at the other belt middle part assembling electric rotary table (7) of pneumatic means (4), electric rotary table (7) links to each other with universal stage controller (9), universal stage controller (9) links to each other with computing machine (10) by serial ports again, x-ray source (5) is placed in the plumbous box (6), plumbous box (6) places the belt inboard, plumbous box has a circular port towards the middle part of detector one side, X-ray detector (8) is positioned at belt (1) outside, and x-ray source (5), electric rotary table (7) and X-ray detector (8) center are on same straight line, x-ray source (5) and X-ray detector (8) are positioned on the same horizontal line, X-ray detector (8) links to each other with image pick-up card (11) by data-interface, and image pick-up card (11) then is connected with computing machine (10) by the PCI slot.
2, plant tillering number method for automatic measurement, carry out according to the following steps: (1) is adorned plant with basin and is put into when being delivered to electric rotary table on the belt, drive pneumatic means by air pump paddy rice is pushed to electric rotary table, the rotation of computer control universal stage, the sample that the X ray transmission of being sent by the fan-beam x-ray source is crossed above the universal stage is surveyed by the linear array X-ray detector, is conveyed into computing machine by digital transmission line by image pick-up card again; (2) can try to achieve tiller number behind the computing machine process cross sectional reconstruction algorithm and the extraction algorithm of tillering.
3, plant tillering number method for automatic measurement according to claim 2 is characterized in that: the extraction algorithm of tillering carries out according to the following steps: (1), medium filtering: the view data that reconstructs is removed noise through medium filtering; (2), maximum entropy automatic threshold binaryzation: the view data behind the medium filtering is converted into binary picture; (3), corrosion: what will be sticked together tillers separately; (4), fill: the aperture that occurs is filled; (5), remove the zonule: set area threshold, remove the zonule of region area below threshold value; (6), zone counting: to through the view data after the above-mentioned processing, carry out the counting of connected region, finally obtain tiller number.
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Cited By (10)
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| CN101718522B (en) * | 2009-12-25 | 2011-07-27 | 华南农业大学 | Non-contact type nondestructive detecting device for plant growth and detecting method thereof |
| CN102278979A (en) * | 2011-04-28 | 2011-12-14 | 华中科技大学 | Automatic detection method of transplanting and tillering of paddy rice |
| CN102589441A (en) * | 2012-01-11 | 2012-07-18 | 华中科技大学 | Fully-automatic nondestructive measurement system and measurement method for phenotype parameters of potted rice |
| CN105510362A (en) * | 2015-12-07 | 2016-04-20 | 华中农业大学 | Micro-CT-based rice tillering characteristic nondestructive measurement device and measurement method thereof |
| CN107993243A (en) * | 2017-12-21 | 2018-05-04 | 北京林业大学 | A kind of wheat tillering number automatic testing method based on RGB image |
| CN108801942A (en) * | 2018-03-01 | 2018-11-13 | 上海交通大学 | The adjustable linear array laser detection electromechanical assembly and method, system that rice tillering counts |
| CN109673439A (en) * | 2019-02-13 | 2019-04-26 | 华中农业大学 | A kind of regulation method of water and fertilizer coupling to rice yield and growth form |
| CN111024737A (en) * | 2019-12-31 | 2020-04-17 | 湖南农业大学 | Rice chalkiness three-dimensional determination method based on Micro-CT |
| CN111175334A (en) * | 2020-01-09 | 2020-05-19 | 中国原子能科学研究院 | Automatic graphite crystal pre-diffraction X-ray fluorescence instrument system |
| CN112715077A (en) * | 2020-12-31 | 2021-04-30 | 广西壮族自治区农业科学院 | Sugarcane tillering and thinning and planting management machine |
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- 2008-07-18 CN CNA2008100484466A patent/CN101349655A/en active Pending
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101718522B (en) * | 2009-12-25 | 2011-07-27 | 华南农业大学 | Non-contact type nondestructive detecting device for plant growth and detecting method thereof |
| CN102278979A (en) * | 2011-04-28 | 2011-12-14 | 华中科技大学 | Automatic detection method of transplanting and tillering of paddy rice |
| CN102278979B (en) * | 2011-04-28 | 2013-04-17 | 华中科技大学 | Automatic detection method of transplanting and tillering of paddy rice |
| CN102589441A (en) * | 2012-01-11 | 2012-07-18 | 华中科技大学 | Fully-automatic nondestructive measurement system and measurement method for phenotype parameters of potted rice |
| CN105510362A (en) * | 2015-12-07 | 2016-04-20 | 华中农业大学 | Micro-CT-based rice tillering characteristic nondestructive measurement device and measurement method thereof |
| CN105510362B (en) * | 2015-12-07 | 2019-01-08 | 华中农业大学 | Rice tillering character damage-free measuring apparatus and its measurement method based on minitype CT |
| CN107993243B (en) * | 2017-12-21 | 2020-06-23 | 北京林业大学 | Wheat tillering number automatic detection method based on RGB image |
| CN107993243A (en) * | 2017-12-21 | 2018-05-04 | 北京林业大学 | A kind of wheat tillering number automatic testing method based on RGB image |
| CN108801942B (en) * | 2018-03-01 | 2020-07-24 | 上海交通大学 | Linear array laser imaging method for rice tillering counting |
| CN108801942A (en) * | 2018-03-01 | 2018-11-13 | 上海交通大学 | The adjustable linear array laser detection electromechanical assembly and method, system that rice tillering counts |
| CN109673439A (en) * | 2019-02-13 | 2019-04-26 | 华中农业大学 | A kind of regulation method of water and fertilizer coupling to rice yield and growth form |
| CN109673439B (en) * | 2019-02-13 | 2021-01-29 | 华中农业大学 | Method for regulating and controlling rice yield and growth traits through water and fertilizer coupling |
| CN111024737A (en) * | 2019-12-31 | 2020-04-17 | 湖南农业大学 | Rice chalkiness three-dimensional determination method based on Micro-CT |
| CN111175334A (en) * | 2020-01-09 | 2020-05-19 | 中国原子能科学研究院 | Automatic graphite crystal pre-diffraction X-ray fluorescence instrument system |
| CN111175334B (en) * | 2020-01-09 | 2021-11-02 | 中国原子能科学研究院 | Automatic graphite crystal pre-diffraction X-ray fluorescence instrument system |
| CN112715077A (en) * | 2020-12-31 | 2021-04-30 | 广西壮族自治区农业科学院 | Sugarcane tillering and thinning and planting management machine |
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