CN101933417A - Corn seed investigating device based on machine vision - Google Patents
Corn seed investigating device based on machine vision Download PDFInfo
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- CN101933417A CN101933417A CN201010226335.7A CN201010226335A CN101933417A CN 101933417 A CN101933417 A CN 101933417A CN 201010226335 A CN201010226335 A CN 201010226335A CN 101933417 A CN101933417 A CN 101933417A
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Abstract
The invention discloses a corn seed investigating device based on machine vision, comprising an object stage, an image collection unit and two reflectors. The image collection unit is opposite to the object state; the two reflectors are placed at the other side of the object stage opposite to the image collection unit and are arranged in the position where the two reflectors can image the part of the corn ear part to be tested, which can not be directly collected by the image collection unit. The device has the advantages of time and labor saving, rapidness, high efficiency, and the like; images at three sides of the corn ear can be imaged at one time through two reflectors; the object stage has the weighing function without other auxiliary weighing instruments; three linear laser light sources can be used for distinguishing the boundary of the corn overlapping part; the collected picture can be used for extracting multiple appearance parameters of progeny length, progeny row, progeny grains, grain number of each row, bald length, bald rate, and the like; and the defects for artificial seed investigation at present is improved.
Description
Technical field
The present invention relates to corn species test technical field, relate in particular to a kind of corn species test device that gives machine vision.
Background technology
China's maize sown area and gross yield Dou Ju second place of the world, Maize Production is occupied strategic position of the utmost importance in China's grain-production and grain security.The upgrowth situation of the heavy directly reaction of the apparent parameter of corn ear and fringe corn and identify at corn variety also plays an important role, and carries out the corn species test by machine vision and has advantages such as objective, efficient, low cost.
Zhao Chunming etc. have delivered the article of a piece " image of corn ear DUS proterties test is handled application study " in 2009, in the literary composition CCD camera is fixed on the tripod, fixed angle and object distance are gathered in three side images of the corn of case central authorities vertical hanging during shooting, shooting environmental is airtight casing, expose with blank, around the unification of the longitudinal axis anglec of rotation is 120 °, the image that collects is handled, extract the spike length of corn, fringe is thick, fringe shape, grain top look, the cob look, these 7 apparent parameters of tassel row number and seed spread pattern.There is following defective in this method: in airtight casing top, inconvenient operation causes corn to come off owing to fixedly shakiness or corn are loosening easily, affects to taking pictures, and loses time with the corn vertical hanging; Its two: Polaroid certain side image that can only collect corn, camera must be rotated three times if want to gather multiaspect, each 120 ° of three side images gathering corn are so that research, rotary course causes error easily, the accuracy of the anglec of rotation is also wayward, influenced greatly by artificial subjectivity, have skew in various degree; Its three: because that the three-view drawing of taking has is overlapping, can't distinguish the tassel row number that the border causes measuring by plane picture corn, and with the method that scans the corn sectional view.
The bright grades of Wang Yu in 2008 have been built the hardware system of corn seed IMAQ in master thesis " based on the identification of corn seed kind and the detection research of machine vision ", experiment porch comprises camera, light source circle frame, annular light source, light shield, sample and objective table, respectively camera, light source and article carrying platform are fixed on the bracing frame, gather the darkroom of environment for sealing.Though this platform has used machine vision, research object is the external form feature of corn seed, and the surface that is not useable for corncob is the research of object.
More than the equal weight of energy measurement corn ear not of two kinds of methods, can only gather image.
Summary of the invention
(1) technical problem
The technical problem to be solved in the present invention is: a kind of efficient, quick, simple corn species test device is provided.
(2) technical scheme
For reaching described purpose, the invention provides a kind of corn species test device based on machine vision, this device comprises: objective table is used for the carrying and the corn ear to be measured of weighing; Image acquisition units, relative with described objective table, gather the image of corn ear to be measured and the image that collects is sent to processing unit; Two reflective mirrors, place the opposite side relative of objective table with described image acquisition units, its be arranged on can the imaging setting section corn ear to be measured position, described setting section is the part outside the corn ear part to be measured that collects of described image acquisition units; Processing unit sends the IMAQ order to described image acquisition units, receives and handle the image that described image acquisition units is gathered.Three light sources, described three light source lines are equilateral triangle, and described objective table places the center of described equilateral triangle, is used to the collection illumination of image, and by irradiation light corn ear to be measured evenly is divided into three parts.
Wherein, described light source comprises: lighting source is used to the collection image that illumination is provided; The boundary light source is arranged at described lighting source center, is used for by irradiation light corn ear to be measured evenly being divided into three parts.
Wherein, described lighting source is a led light source, and described boundary light source is the linear laser light source.
Wherein, described image acquisition units places on the center line of described three any two lighting source lines of lighting source.
Wherein, described two reflective mirrors be arranged at respectively described image acquisition units and with its over against the both sides of lighting source line.
Wherein, described objective table comprises: pallet, and corn ear to be measured is used to weigh; Thimble is arranged on described pallet center, is used for inserting fixing corn ear to be measured.
Wherein, this device also comprises: housing, be used for each parts of this device fixedly are placed in one, and its top is provided with opening, is used to place corn ear to be measured.
(3) beneficial effect
Corn species test device based on machine vision of the present invention has advantage such as save time, laborsaving, quick and efficient, by two reflective mirrors can Polaroid corn ear the image of three sides; Objective table is furnished with function of weighing, need not other auxiliary instruments of weighing; Three linear laser light sources use the border that can distinguish the corn lap; The picture of gathering can be used to extract spike length, tassel row number, grain number per spike, every a plurality of apparent parameters such as grain number, bald length, bald rate of going of corn ear, has improved numerous drawbacks of at present artificial species test.
Description of drawings
Fig. 1 is the corn species test device vertical view based on machine vision according to one embodiment of the present invention;
Fig. 2 is the corn species test device perspective view based on machine vision according to one embodiment of the present invention;
The corn ear image that Fig. 3 collects for the corn species test device based on machine vision that uses according to one embodiment of the present invention.
Embodiment
Corn species test device based on machine vision of the present invention is described in detail as follows in conjunction with the accompanying drawings and embodiments.
Shown in Fig. 1-2, the corn species test device based on machine vision according to one embodiment of the present invention comprises: objective table, be used for the carrying and the corn ear to be measured of weighing, be used to insert the thimble 6 of fixing corn ear to be measured by pallet 5 and pallet 5 centers and form, pallet 5 has function of weighing; Image acquisition units 1, relative with objective table, be used to gather the image of corn ear to be measured and the image that collects is sent to processing unit; Three lighting sources 3, its line is equilateral triangle, objective table places the center of this equilateral triangle, promptly three lighting sources 3 center on the objective table setting, and are arranged on the position each other in 120 °, are used to IMAQ that illumination is provided, three lighting sources 3 are the cuboid led light source, its center all embeds boundary light source 2, and boundary light source 2 is the linear laser light source, is used for by irradiates light corn ear to be measured evenly being divided into three parts; Two reflective mirrors 4, the opposite side relative that places objective table with image acquisition units 1, it is provided with the position and is corn ear image to be measured that can the imaging setting section, and this setting section is the part outside the image acquisition units 1 corn ear part to be measured that can directly collect; Processing unit is used for sending the IMAQ order to image acquisition units 1, receives and handle the image that image acquisition units 1 is gathered.Three lighting sources 3 are opened simultaneously, make corn ear to be measured clear, and light is soft, and can corn ear be divided into uniform three parts by the irradiation light that is embedded in the boundary light source 2 on the lighting source 3.Two reflective mirrors 4 place between lighting source 3 and the pallet 5, it is placed angle and verifies through optical theory, just be able to image to the side that has two marginal corn ears that form by boundary light source 2, image acquisition units 1 can once collect the image of three sides of corn ear like this, it is the image of whole corn ear, comprise the parts of images that directly collects, and two parts of images that reflective mirror 4 is become that collect, when being convenient to calculate the corn line number, the line of demarcation that decomposition light source 2 forms removes the overlapping region.Image acquisition units 1 is preferably camera, is arranged on the center line of any two light source lines, and the place ahead of whole device is demarcated good and object distance is fixed, and links to each other with processing unit by data wire, carries out the transmission of image.Processing unit is preferably calculator.As shown in Figure 2.Whole device is arranged in the housing into enclosure space, and after four sides all fix, but the housing upper end is an opening section, is used for putting into and taking out of corn ear.According to a large amount of statistics of fruit ear length, the height of two reflective mirrors all is at least 25cm.
When using device of the present invention to carry out the corn species test, once can become the image of three sides of corn ear, it is few to take number of times, and shooting time is short.Shooting results as shown in Figure 3, the boundary light source 2 use make the corn ear lateral parts the line of demarcation obviously as seen.The use of lighting source 3 makes the pictures taken color even, and exposure property is good.Corn ear is fixed on the weight that steadiness is good and pallet is furnished with on the pallet function of weighing can weigh up fruit ear simultaneously by thimble 6, need not to use other instrument, provide cost savings and the time.The picture that collects with this device can be used to extract a plurality of mode of appearance parameters of corncob, comprise spike length, tassel row number, grain number per spike, every row grain number, bald length, bald rate etc., the parameter proterties of corn ear extraction result is among Fig. 3, spike length: 19.2cm, tassel row number: 18, grain number per spike: 721, bald length: 0.8cm, bald rate: 4.2% (30 fringe statistical value), measured result, spike length: 19.1cm, tassel row number: 18, grain number per spike: 725, bald length: 0.9cm, bald rate: 4.7% (30 fringe statistical value).Can find out that thus device of the present invention is simple to operate, easy to carry and practical.
Above embodiment only is used to illustrate the present invention; and be not limitation of the present invention; the those of ordinary skill in relevant technologies field; under the situation that does not break away from the spirit and scope of the present invention; can also make various variations and modification; therefore all technical schemes that are equal to also belong to category of the present invention, and scope of patent protection of the present invention should be defined by the claims.
Claims (7)
1. corn species test device based on machine vision is characterized in that this device comprises:
Objective table is used for the carrying and the corn ear to be measured of weighing;
Image acquisition units, relative with described objective table, gather the image of corn ear to be measured and the image that collects is sent to processing unit;
Two reflective mirrors, place the opposite side relative of objective table with described image acquisition units, its be arranged on can the imaging setting section corn ear to be measured position, described setting section is the part outside the corn ear part to be measured that collects of described image acquisition units;
Processing unit sends the IMAQ order to described image acquisition units, receives and handle the image that described image acquisition units is gathered.
Three light sources, described three light source lines are equilateral triangle, and described objective table places the center of described equilateral triangle, is used to the collection illumination of image, and by irradiation light corn ear to be measured evenly is divided into three parts.
2. the corn species test device based on machine vision as claimed in claim 1 is characterized in that described light source comprises:
Lighting source is used to the collection image that illumination is provided;
The boundary light source is arranged at described lighting source center, is used for by irradiation light corn ear to be measured evenly being divided into three parts.
3. the corn species test device based on machine vision as claimed in claim 2 is characterized in that described lighting source is a led light source, and described boundary light source is the linear laser light source.
4. the corn species test device based on machine vision as claimed in claim 2 is characterized in that described image acquisition units places on the center line of described three any two lighting source lines of lighting source.
5. the corn species test device based on machine vision as claimed in claim 4 is characterized in that, described two reflective mirrors be arranged at respectively described image acquisition units and with its over against the both sides of lighting source line.
6. as each described corn species test device of claim 1-5, it is characterized in that described objective table comprises based on machine vision:
Pallet, corn ear to be measured is used to weigh; Thimble is arranged on described pallet center, is used for inserting fixing corn ear to be measured.
7. the corn species test device based on machine vision as claimed in claim 6 is characterized in that this device also comprises:
Housing is used for each parts of this device fixedly are placed in one, and its top is provided with opening, is used to place corn ear to be measured.
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Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102425992A (en) * | 2011-12-15 | 2012-04-25 | 青岛农业大学 | Corn ear character measuring device and method for measuring line number of corncobs, ear-to-row inclination angel and ear edge angle |
| CN102915442A (en) * | 2012-09-10 | 2013-02-06 | 北京农业信息技术研究中心 | Corn ear bald tip rate obtaining method |
| CN103004322A (en) * | 2012-12-26 | 2013-04-03 | 中国农业大学 | Corn ear trait detecting device |
| CN103026823A (en) * | 2012-12-25 | 2013-04-10 | 北京农业信息技术研究中心 | High-efficiency corn ear seed test method and device based on image |
| CN103053243A (en) * | 2013-01-16 | 2013-04-24 | 北京农业信息技术研究中心 | Corn ear testing device based on key quality point control |
| CN103155744A (en) * | 2013-03-28 | 2013-06-19 | 北京农业信息技术研究中心 | Full-automatic corn single-ear seed testing device and method |
| CN103190224A (en) * | 2013-03-26 | 2013-07-10 | 中国农业大学 | Computer vision technique-based corn ear species test method, system and device |
| US20140023243A1 (en) * | 2012-07-23 | 2014-01-23 | Dow Agrosciences Llc | Kernel counter |
| CN104488405A (en) * | 2014-12-31 | 2015-04-08 | 中国农业大学 | Machine vision based corn ear high-throughput pipelining measurement device and method |
| CN104865259A (en) * | 2015-05-07 | 2015-08-26 | 中国农业大学 | Falling type corn ear holographic character rapid measuring system and method |
| CN104949916A (en) * | 2015-05-29 | 2015-09-30 | 中国农业大学 | Fall type corn ear property measuring apparatus and measuring method thereof |
| CN105340413A (en) * | 2015-10-26 | 2016-02-24 | 中国农业大学 | Corn ear three-dimensional information detection method and system thereof |
| CN105651183A (en) * | 2016-01-13 | 2016-06-08 | 中国科学院海洋研究所 | Measurement device and measurement method for fish morphology indexes |
| CN105738294A (en) * | 2016-03-01 | 2016-07-06 | 江苏大学 | Automatic spikelike fruit detection device and method based on monocular multi-view imaging |
| CN105766128A (en) * | 2016-03-04 | 2016-07-20 | 北京农业智能装备技术研究中心 | High-flux full-automatic corn variety study production line device |
| CN111047003A (en) * | 2018-10-15 | 2020-04-21 | 武汉大学 | Intelligent identification system and method for rice cooking |
| CN111615880A (en) * | 2020-06-04 | 2020-09-04 | 杭州岚达科技有限公司 | Rotation type maize ear kind of a device of examining |
| CN111652156A (en) * | 2020-06-04 | 2020-09-11 | 杭州岚达科技有限公司 | Portable field maize species examination instrument |
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| CN103039154B (en) * | 2012-12-25 | 2014-05-14 | 北京农业信息技术研究中心 | Method and device for performing high-precision determination of corn ear variety based on images |
| CN103210716B (en) * | 2013-04-24 | 2014-12-17 | 北京农业信息技术研究中心 | Corn ear test method |
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| CN102425992B (en) * | 2011-12-15 | 2016-09-14 | 青岛农业大学 | A kind of corn ear character measurement apparatus and measurement corncob line number, head progeny row inclination angle and the method at fringe edge angle |
| CN102425992A (en) * | 2011-12-15 | 2012-04-25 | 青岛农业大学 | Corn ear character measuring device and method for measuring line number of corncobs, ear-to-row inclination angel and ear edge angle |
| US20140023243A1 (en) * | 2012-07-23 | 2014-01-23 | Dow Agrosciences Llc | Kernel counter |
| CN102915442A (en) * | 2012-09-10 | 2013-02-06 | 北京农业信息技术研究中心 | Corn ear bald tip rate obtaining method |
| CN102915442B (en) * | 2012-09-10 | 2015-10-28 | 北京农业信息技术研究中心 | Corn ear bald tip rate acquisition methods |
| CN103026823A (en) * | 2012-12-25 | 2013-04-10 | 北京农业信息技术研究中心 | High-efficiency corn ear seed test method and device based on image |
| CN103004322B (en) * | 2012-12-26 | 2014-09-10 | 中国农业大学 | Corn ear trait detecting device |
| CN103004322A (en) * | 2012-12-26 | 2013-04-03 | 中国农业大学 | Corn ear trait detecting device |
| CN103053243A (en) * | 2013-01-16 | 2013-04-24 | 北京农业信息技术研究中心 | Corn ear testing device based on key quality point control |
| CN103053243B (en) * | 2013-01-16 | 2014-05-07 | 北京农业信息技术研究中心 | Corn ear testing device based on key quality point control |
| CN103190224A (en) * | 2013-03-26 | 2013-07-10 | 中国农业大学 | Computer vision technique-based corn ear species test method, system and device |
| CN103190224B (en) * | 2013-03-26 | 2015-02-18 | 中国农业大学 | Computer vision technique-based corn ear species test method, system and device |
| CN103155744B (en) * | 2013-03-28 | 2014-09-03 | 北京农业信息技术研究中心 | Full-automatic corn single-ear seed testing device and method |
| CN103155744A (en) * | 2013-03-28 | 2013-06-19 | 北京农业信息技术研究中心 | Full-automatic corn single-ear seed testing device and method |
| CN104488405A (en) * | 2014-12-31 | 2015-04-08 | 中国农业大学 | Machine vision based corn ear high-throughput pipelining measurement device and method |
| CN104488405B (en) * | 2014-12-31 | 2016-04-27 | 中国农业大学 | Based on high flux corn ear test flow-line equipment and the method thereof of machine vision |
| CN104865259A (en) * | 2015-05-07 | 2015-08-26 | 中国农业大学 | Falling type corn ear holographic character rapid measuring system and method |
| CN104949916A (en) * | 2015-05-29 | 2015-09-30 | 中国农业大学 | Fall type corn ear property measuring apparatus and measuring method thereof |
| CN105340413A (en) * | 2015-10-26 | 2016-02-24 | 中国农业大学 | Corn ear three-dimensional information detection method and system thereof |
| CN105651183A (en) * | 2016-01-13 | 2016-06-08 | 中国科学院海洋研究所 | Measurement device and measurement method for fish morphology indexes |
| CN105738294A (en) * | 2016-03-01 | 2016-07-06 | 江苏大学 | Automatic spikelike fruit detection device and method based on monocular multi-view imaging |
| CN105738294B (en) * | 2016-03-01 | 2018-11-06 | 江苏大学 | The spike fruit automatic detection device and method of imaging are regarded based on monocular more |
| CN105766128A (en) * | 2016-03-04 | 2016-07-20 | 北京农业智能装备技术研究中心 | High-flux full-automatic corn variety study production line device |
| CN105766128B (en) * | 2016-03-04 | 2018-09-11 | 北京农业智能装备技术研究中心 | High-throughput full-automatic corn species test flow-line equipment |
| CN111047003A (en) * | 2018-10-15 | 2020-04-21 | 武汉大学 | Intelligent identification system and method for rice cooking |
| CN111615880A (en) * | 2020-06-04 | 2020-09-04 | 杭州岚达科技有限公司 | Rotation type maize ear kind of a device of examining |
| CN111652156A (en) * | 2020-06-04 | 2020-09-11 | 杭州岚达科技有限公司 | Portable field maize species examination instrument |
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