CN204555935U - The leaf image collecting device of a kind of paddy rice - Google Patents
The leaf image collecting device of a kind of paddy rice Download PDFInfo
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- CN204555935U CN204555935U CN201520235496.0U CN201520235496U CN204555935U CN 204555935 U CN204555935 U CN 204555935U CN 201520235496 U CN201520235496 U CN 201520235496U CN 204555935 U CN204555935 U CN 204555935U
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Abstract
The leaf image collecting device of a kind of paddy rice, its main body comprises camera, camera head fixing device, rack cross-bar, carries leaf platform, support erects thick stick, support adjusting device, computing machine, verification paper, double faced adhesive tape, black belt; Camera is fixed on rack cross-bar by camera head fixing device; Carrying leaf platform is black level desktop, and black belt is carrying Ye Taishang by sticking double faced adhesive tape, and one of band glue faces up; Support erects thick stick and is fixed on and carries the central authorities of impeller side, by the distance of the adjustable camera of support adjusting device and desktop; Camera is connected directly between on computing machine; Verification paper is a blank sheet of paper retouching black isometric net point.Device and method of the present utility model is utilized to gather the leaf image of paddy rice and the extraction leaf curve of paddy rice and leaf area convenient, fast, accurate, for paddy rice is leaf and the extraction of parameter provides hardware and method, underlying parameter can be provided for the simulation of paddy rice strain shape and optimal design.
Description
Technical field
The utility model relates to the data acquisition and parameter extracting method that paddy rice strain shape exact magnitude describes, especially the leaf image collecting device of paddy rice and extract the method for leaf curve and leaf area based on graphical analysis.
Background technology
China's rice yield once had twice breakthrough, and one is that paddy rice height stalk changes of short stem, and two is that Semidwarf rice changes hybrid rice, and short-stalked variety is increased production than short-stalked variety than long-stalked variety volume increase, hybrid paddy rice, and its common essence is plant type improvement.Plant type improvement process is divided into two stages, and the first stage is breeding wheat for semidwarfness, and subordinate phase is Ideotype Breeding, and think that the developing direction of Plant-type Breeding is that Morphology and function is taken into account, ideotype combines with use of advantage.
The plant type of broad sense refers to the assembling form of comprehensive biological character and overall expression thereof, it not only comprises morphological feature, the space arrangement mode of plant, and comprise some function proterties directly related with colony light-use, as breeding time, photosynthesis characteristics, storehouse source and course harmony, ratio of grain to straw, dormant trait, resistance, need fertilizer, point allusion quotation etc.The strain shape of narrow sense means the relation between the morphological feature of plant, space arrangement mode and each proterties, as the length of plant height, collecting and distributing, the blade of tillering, width and angle, fringe shape, individual arrangement mode in colony and geometry thereof etc.Strain shape means the relation between the morphological feature of plant, space arrangement mode and each proterties, as the length of plant height, collecting and distributing, the blade of tillering, width and angle, fringe shape, individual arrangement mode in colony and geometry thereof etc.
Plant type simulation is the relation between morphological feature, space arrangement mode and each proterties to crop, as the simulation of the length of plant height, collecting and distributing, the blade of tillering, width and angle, fringe shape, individual arrangement mode in colony and geometry thereof.The basis of plant type simulation is plant type model.The object of plant type simulation is the selection into ideotype, and field management provides theories integration.
The main information that current plant type simulation uses is leaf area distribution and the Light distribation of rice canopy vertical space.Extract abundanter plant type information, the research of multi-angle can be provided for ideotype, be conducive to the validity improving model.Leaf Data acquisition and issuance is fewer.Traditional leaf analysis be generally based on utilize ruler to measure tie with leaf the leaf of different distance position wide come matching, thus direct Measuring Time expends greatly.The method and apparatus that leaf area is measured is many, the method of ordinary surveying Measurement of Leaf Area In Rice mainly contained in the past: cut paper weighing method that (1) draws (or blueprint), paper (matter thicker and even) is plotted in upper or directly make a blueprint with leaf by leaf holder, successively cut leaf rectangle and leaf, weigh respectively, calculate leaf area by ratio.This method is relatively more accurate, but work efficiency is slow, has any problem during for measuring in a large number.(2) length and width are multiplied the method for converting, and namely take advantage of that leaf is wide gives a discount again with leaf is long, value of generally converting is 70-80.Have according to blade the widest part at the bottom of full leaf or medium position respectively divided by 1.2,1.3 or 1.4.This Measures compare simple and fast, but as regardless of leaf and unified by a value of converting, be obviously inaccurate.Based on the method for image measurement, Zhang Jinheng (Zhang Jinheng, Wan Yu, Liu Shusheng, Lv Yongliang, Han Chao. a kind of device of novel measuring and calculating leaf area index: China, 200920154375.8 [P]. 2010-02-24.) device of a kind of novel measuring and calculating leaf area index that designs, the blade modes of emplacement of its design is not convenient, due to image deformation, the calculating of leaf area also has comparatively big error, and the area extracting blade based on Photoshop needs human intervention, can not extract the boundary curve of blade.For this reason, our the utility model designs the leaf image collecting device of a kind of convenient, fast, accurate paddy rice and extracts method that is leaf and leaf area based on graphical analysis.
Utility model content
Technical problem to be solved in the utility model is to provide a kind of convenient, fast, the accurately leaf image collecting device of paddy rice and the extraction leaf curve of paddy rice and leaf area method.
For solving the problems of the technologies described above, the leaf image collecting device of the paddy rice that the utility model provides, it is characterized in that comprising camera (1), camera head fixing device (2), rack cross-bar (3), carry leaf platform (4), support erects thick stick (5), support adjusting device (6), computing machine (7), verification paper (8), double faced adhesive tape (9), black belt (10); Camera (1) is fixed on rack cross-bar (3) by camera head fixing device (2); Carrying leaf platform (4) is black level desktop, and black belt (10) is pasted onto in horizontal table top by double faced adhesive tape (9), and one of the band glue of black belt (10) faces up; Support adjusting device (6) is fixed on and carries leaf platform (4) side, support adjusting device (6) has the screw rod that three equidistant; Support erects on thick stick (5) some equidistant screws, support erects thick stick (5) and is fixed on the central authorities of carrying leaf platform (4) side by the screw rod of screw and support adjusting device (6), erected the correspondence position of the screw of thick stick (5) and the screw rod of support adjusting device (6) by adjusting pole, regulate the distance of camera (1) and desktop to adapt to the shooting of different length leaf image; Camera (1) is connected directly between on computing machine (7) for high definition network head, the software shooting rice leaf image that can carry with camera (1); Verification paper (8) is a blank sheet of paper retouching black isometric net point.
For solving the problems of the technologies described above, the utility model also provides a kind of process utilizing the leaf image collecting device of paddy rice to take the leaf image of paddy rice, and it comprises the steps:
1) according to the length of blade, the distance of camera (1) and desktop is regulated by support adjusting device (7), and fixed support, connect camera and computing machine, start image taking software, regulate acquisition parameters;
2) will verify paper (8) lies on year vane plate (3), the image of shooting verification paper (8);
3) mounted blade is attached on double faced adhesive tape successively, controls shooting software shooting rice leaf image;
4) remove the blade clapping image, the step 4) described in process of the leaf image of recycling paddy rice leaf image collecting device shooting paddy rice, takes all rice leaf images to be processed.
For solving the problems of the technologies described above, the utility model also provides a kind of from the verification paper image of paddy rice leaf image collecting device shooting and the method for the leaf curve of paddy rice leaf image zooming-out paddy rice and leaf area, and it comprises the steps:
1) pixel transform equation: the image of process verification paper (8), obtains position and the actual coordinate Equation of pixel;
2) pre-service leaf image: read leaf image, gray processing is taken turns doing to leaf image, binaryzation, corrosion, expansion process;
3) leaf marking: index blade, extracts blade pixel coordinate;
4) pixel position coordinates conversion: utilize the position of pixel of step 1) acquisition described in the process of the leaf image of paddy rice leaf image collecting device shooting paddy rice and the Equation of actual coordinate to carry out coordinate transform to the position of blade pixel, obtain blade pixel actual coordinate;
5) pixel actual coordinate rotates: during due to shooting leaf image, place blade mode different, blade is parallel image border not necessarily, so need to do rotation of coordinate, makes blade vein be parallel to the abscissa axis of actual coordinate by doing rotation of coordinate to blade pixel actual coordinate; And making blade and blade node be true origin by coordinate transform, vein is on abscissa axis, and at this moment the horizontal ordinate of pixel is the horizontal range of changing the time to blade node, and ordinate is the vertical distance of changing the time to vein; So the maximum very coordinate of pixel is that leaf is long, the maximum ordinate of pixel is that leaf is wide;
6) blade splicing: the blade had may be oversize, needs blade to cut off to take pictures, blade splicing will be spliced into a slice by being divided into two sections of blades exactly;
7) edge fitting: the actual coordinate of blade boundary pixel point obtains the curvilinear equation on blade border by matching;
8) areal calculation: the leaf length, the Ye Kuan that calculate every sheet rice leaf, and utilize imfinitesimal method to calculate the leaf area of every sheet rice leaf;
9) file stores: the step 2 repeating the method extracting the leaf curve of paddy rice and leaf area)-8), after processing all leaf images, data are saved in Excel file;
10) whole processing procedure is realized by matlab GUI Programming Based.
Further, extract the step 7 of the leaf curve of paddy rice and leaf area process) edge fitting use Polynomial curve-fit, with frontier point to the horizontal range of blade node for independent variable, with frontier point to the vertical distance of vein for dependent variable.
Accompanying drawing explanation
The total schematic diagram of Fig. 1 system architecture of the present utility model.
Fig. 2 the utility model extracts the main functional modules of the leaf curve of paddy rice and leaf area parameter.
Fig. 3 the utility model extracts the key step of the leaf curve of paddy rice and leaf area parameter.
The long long accuracy comparison figure of Rice Leaf with directly measuring by artificial means of the Rice Leaf that Fig. 4 the utility model extracts.
The wide accuracy comparison figure of the wide Rice Leaf with directly measuring by artificial means of Rice Leaf that Fig. 5 the utility model extracts.
The Measurement of Leaf Area In Rice that Fig. 6 the utility model extracts and the rice area accuracy comparison figure measured with leaf area instrument.
Embodiment
The leaf image collecting device of the utility model paddy rice and extract the method for leaf and leaf area based on graphical analysis, comprises image capturing device and based on the leaf curve of graphical analysis and the extraction of leaf area.Main implementation step of the present utility model comprises: image capturing device and assembling; Rice leaf image taking; The leaf curve of paddy rice, leaf area parameter extraction.Below in conjunction with drawings and Examples, the utility model is further described.
One, image capturing device and assembling.
As shown in Figure 1, the leaf image collecting device of paddy rice that the utility model provides comprises camera (1), camera head fixing device (2), rack cross-bar (3), carry leaf platform (4), support erects thick stick (5), support adjusting device (6), computing machine (7), verification paper (8), double faced adhesive tape (9), black belt (10); Camera (1) is fixed on rack cross-bar (3) by camera head fixing device (2); Carrying leaf platform (4) is black level desktop, and black belt (10) is pasted onto in horizontal table top by double faced adhesive tape (9), and one of the band glue of black belt (10) faces up; Support adjusting device (6) is fixed on and carries leaf platform (4) side, support adjusting device (6) has the screw rod that three equidistant; Support erects on thick stick (5) some equidistant screws, support erects thick stick (5) and is fixed on the central authorities of carrying leaf platform (4) side by the screw rod of screw and support adjusting device (6), erected the correspondence position of the screw of thick stick (5) and the screw rod of support adjusting device (6) by adjusting pole, regulate the distance of camera (1) and desktop to adapt to the shooting of different length leaf image; Camera (1) is connected directly between on computing machine (7) for high definition network head, the software shooting rice leaf image that can carry with camera (1); Verification paper (8) is a blank sheet of paper retouching black isometric net point.
Two, rice leaf image taking.
The process of the image capturing device shooting rice leaf utilizing the utility model to provide comprises the steps:
1) according to the length of blade, the distance of camera (1) and desktop is regulated by support adjusting device (7), and fixed support, connect camera and computing machine, start image taking software, regulate acquisition parameters;
2) will verify paper (8) lies on year vane plate (3), the image of shooting verification paper (8);
3) mounted blade is attached on double faced adhesive tape successively, controls shooting software shooting leaf image;
4) remove the blade clapping image, repeat the step 4) of right 3, take all rice leaf images to be processed.
When the image capturing device utilizing the utility model to provide is noted that when taking rice leaf and is pasted onto on year vane plate by blade, win and ensure mounted blade as far as possible; In order to ensure picture quality, keeping carrying vane plate noresidue blade fragment as far as possible, using the regular hour, should black belt be changed; Image shoot process keeps the position of camera not change, if desired adjusting pole regulator, then need to take new verification paper image.
Three, the extraction of the leaf curve of paddy rice, leaf area parameter.
As shown in Figure 2, the verification paper image utilizing the utility model to take from the leaf image collecting device of paddy rice and the whole processing procedure of the leaf curve of paddy rice leaf image zooming-out paddy rice and leaf area parameter are realized by matlab GUI Programming Based, and the main functional modules extracting the leaf curve of paddy rice and leaf area parameter comprises:
1) pixel transform equation: the image of process verification paper (8), obtains position and the actual coordinate Equation of pixel; Position (i, j) and actual coordinate (x, the y) Equation of pixel use Binary quadratic functions: x=a
1* i
2+ b
1* i*j+c
1* j
2+ d
1* i+e
1* j+f
1, y=a
2* i
2+ b
2* i*j+c
2* j
2+ d
2* i+e
2* j+f
2, parameter is obtained by matching, target be verify distance on paper (8) image between adjacent stain after conversion and reality closest;
2) pre-service leaf image: read leaf image, gray processing is taken turns doing to leaf image, binaryzation, corrosion, expansion process;
3) leaf marking: often opening leaf image has more blades on same stem stalk, and mark often opens blade, extracts and often opens blade pixel coordinate;
4) pixel position coordinates conversion: the position of pixel utilizing pixel transform equation to obtain and the Equation of actual coordinate carry out coordinate transform to the position of blade pixel, obtain blade pixel actual coordinate;
5) pixel actual coordinate rotates: during due to shooting leaf image, place blade mode different, blade is parallel image border not necessarily, so need to do rotation of coordinate, makes blade vein be parallel to the abscissa axis of actual coordinate by doing rotation of coordinate to blade pixel actual coordinate; And making blade and blade node be true origin by coordinate transform, vein is on abscissa axis, and at this moment the horizontal ordinate of pixel is the horizontal range of changing the time to blade node, and ordinate is the vertical distance of changing the time to vein; So the maximum horizontal ordinate of pixel is that leaf is long, the maximum ordinate of pixel is that leaf is wide;
6) blade splicing: the blade had may be oversize, needs blade to cut off to take pictures, blade splicing will be spliced into a slice by being divided into two sections of blades exactly;
7) edge fitting: the actual coordinate of blade boundary pixel point obtains the curvilinear equation on blade border by matching;
8) areal calculation: the leaf length, the Ye Kuan that calculate every sheet rice leaf, and utilize imfinitesimal method to calculate the leaf area of every sheet rice leaf;
9) file stores: after processing all leaf images, data are saved in Excel file.
As shown in Figure 3, the verification paper image utilizing the utility model to take from the leaf image collecting device of paddy rice and the whole processing procedure of the leaf curve of paddy rice leaf image zooming-out paddy rice and leaf area parameter are realized by matlab GUI Programming Based, and the key step extracting the leaf curve of paddy rice and leaf area parameter comprises:
1) verification is arranged: read in verification paper image, and the image of process verification paper, obtains position and the actual coordinate Equation of pixel;
2) image file reads in: the file of image procossing is read in system;
3) Image semantic classification: gray processing is taken turns doing to leaf image, binaryzation, corrosion, expansion process;
4) graphical analysis: index blade, extracts blade pixel coordinate; Blade vein is made to be parallel to the abscissa axis of actual coordinate by doing rotation of coordinate to blade pixel actual coordinate; And making blade and blade node be true origin by coordinate transform, vein is on abscissa axis, and at this moment the horizontal ordinate of pixel is the horizontal range of changing the time to blade node, and ordinate is the vertical distance of changing the time to vein; So the maximum horizontal ordinate of pixel is that leaf is long, the maximum ordinate of pixel is that leaf is wide;
5) image mosaic: blade will be cut off and be spliced into a slice;
6) curve: the actual coordinate of blade boundary pixel point obtains the curvilinear equation on blade border by matching;
7) data are preserved: repeat step 3)-6), after processing all leaf images, data are saved in Excel file.
Using long for the Rice Leaf obtained with the utility model, leaf is wide and blade face product value as predicted value, the leaf area that the leaf directly measured with ruler is long, leaf is wide and LA3000 measures is as observed reading, make scatter diagram as shown in accompanying drawing 4-6, carry out linear fit simultaneously, verify degree of accuracy and the accuracy of this method.
Accompanying drawing 4 shows, when the Rice Leaf long value obtained by two kinds of methods carries out linear fit, relation therebetween can describe with formula Lenp=1.018Lent-1.008 respectively.In Fig. 4, stain represents this method measured value that the direct measured value of ruler is corresponding.In Fig. 4, the slope of black oblique line is 1).From the statistical significance analysis of parameters of formula, the Rice Leaf directly recorded with ruler is long makes comparisons, and formula slope is 1.018, and closely 1, then illustrate that this method surveys the accuracy of Rice Leaf long value very high; Coefficient of determination R2=0.998, closely 1, then illustrate that this method surveys the accuracy of Rice Leaf long value very high.
Accompanying drawing 5 shows, when the Rice Leaf width values obtained by two kinds of methods carries out linear fit, relation therebetween can describe with formula W idp=0.986 Widt+0.077 respectively.In Fig. 4, stain represents this method measured value that the direct measured value of ruler is corresponding.In Fig. 4, the slope of black oblique line is 1).From the statistical significance analysis of parameters of formula, the Rice Leaf directly recorded with ruler is wide makes comparisons, and formula slope is 0.986, and closely 1, then illustrate that this method surveys the accuracy of Rice Leaf width values very high; Coefficient of determination R2=0.949, closely 1, then illustrate that this method surveys the accuracy of Rice Leaf width values very high.
Accompanying drawing 6 shows, when the rice leaf product value obtained by two kinds of methods carries out linear fit, relation therebetween can describe with formula Areap=1.091 Areat-4.868 respectively.In Fig. 4, stain represents this method measured value that the direct measured value of ruler is corresponding.In Fig. 4, the slope of black oblique line is 1.From the statistical significance analysis of parameters of formula, make comparisons with the Measurement of Leaf Area In Rice that ruler directly records, formula slope is 1.091, closely 1, then illustrate that this method surveys the accuracy of rice leaf product value very high; Coefficient of determination R2=0.982, closely 1, then illustrate that this method surveys the accuracy of rice leaf product value very high.
The utility model extracts the graphic system of the leaf and leaf area of paddy rice, convenient, fast, efficiently, accurately obtain the leaf and leaf area of paddy rice.For the simulation of paddy rice strain shape and optimal design provide device and method needed for Culm of Rice locus and the collection of leaf bearing data.
Claims (1)
1. the leaf image collecting device of paddy rice that provides of the utility model, it is characterized in that comprising camera (1), camera head fixing device (2), rack cross-bar (3), carry leaf platform (4), support erects thick stick (5), support adjusting device (6), computing machine (7), verification paper (8), double faced adhesive tape (9), black belt (10); Camera (1) is fixed on rack cross-bar (3) by camera head fixing device (2); Carrying leaf platform (4) is black level desktop, and black belt (10) is pasted onto in horizontal table top by double faced adhesive tape (9), and one of the band glue of black belt (10) faces up; Support adjusting device (6) is fixed on and carries leaf platform (4) side, support adjusting device (6) has the screw rod that three equidistant; Support erects on thick stick (5) some equidistant screws, support erects thick stick (5) and is fixed on the central authorities of carrying leaf platform (4) side by the screw rod of screw and support adjusting device (6), erected the correspondence position of the screw of thick stick (5) and the screw rod of support adjusting device (6) by adjusting pole, regulate the distance of camera (1) and desktop to adapt to the shooting of different length leaf image; Camera (1) is connected directly between on computing machine (7) for high definition network head, the software shooting rice leaf image that can carry with camera (1); Verification paper (8) is a blank sheet of paper retouching black isometric net point.
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| CN201520235496.0U CN204555935U (en) | 2015-04-20 | 2015-04-20 | The leaf image collecting device of a kind of paddy rice |
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| CN201520235496.0U CN204555935U (en) | 2015-04-20 | 2015-04-20 | The leaf image collecting device of a kind of paddy rice |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104776814A (en) * | 2015-04-20 | 2015-07-15 | 湖南农业大学 | Rice leaf shape acquisition device and rice leaf shape parameter extraction method |
| CN110823136A (en) * | 2019-11-26 | 2020-02-21 | 湖南农业大学 | Novel method for rapidly estimating surface area of rape pod |
-
2015
- 2015-04-20 CN CN201520235496.0U patent/CN204555935U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104776814A (en) * | 2015-04-20 | 2015-07-15 | 湖南农业大学 | Rice leaf shape acquisition device and rice leaf shape parameter extraction method |
| CN104776814B (en) * | 2015-04-20 | 2018-05-11 | 湖南农业大学 | The leaf harvester of rice and rice Leaf pattern parameter extracting method |
| CN110823136A (en) * | 2019-11-26 | 2020-02-21 | 湖南农业大学 | Novel method for rapidly estimating surface area of rape pod |
| CN110823136B (en) * | 2019-11-26 | 2022-07-19 | 湖南农业大学 | Method for rapidly estimating surface area of rape pod |
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