CN202267464U - Mobile phone based device for rapidly detecting blade area - Google Patents
Mobile phone based device for rapidly detecting blade area Download PDFInfo
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- CN202267464U CN202267464U CN2011204246712U CN201120424671U CN202267464U CN 202267464 U CN202267464 U CN 202267464U CN 2011204246712 U CN2011204246712 U CN 2011204246712U CN 201120424671 U CN201120424671 U CN 201120424671U CN 202267464 U CN202267464 U CN 202267464U
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Abstract
The utility model discloses a mobile phone based device for rapidly detecting a blade area. The mobile phone based device comprises a mobile phone (4), a background plate (1), a reference object (2) and a blade (3) to be tested, wherein the reference object (2) and the blade (3) to be tested are respectively placed at different positions on the background plate (1), the mobile phone is located above the background plate (1) vertically and has the functions of photographing, storing, image processing, statistical analyzing, human-machine interacting and displaying, the color of the front face of the background plate (1) is different from the color of the blade (3) to be tested and the color of the reference object (2), and the color of the reference object (2) is different from the color of the blade (3) to be tested. The device disclosed by the utility model not only is simple in structure and convenient to carry, but also is favorable for simplifying measurement steps, shortening detection time and increasing measurement precision.
Description
Technical field
The utility model relates to a kind of device of the fast detecting blade area based on mobile phone.
Background technology
Leaf area is an index commonly used in arable farming and the breeding practice; It is the evaluation index of the yield and quality of crops; Also be ideotype seed selection, the important indicator of measuring the pest damage loss; Utilize this parameter can calculate the water consumption of crop, transpiration and output etc., also can analyze the upgrowth situation of plant, and set up the plant growth model.Blade is the vitals that plant carries out the photosynthesis synthesis of organic substance, and the size of leaf area directly affects the output of crops to a certain extent.When botany researchist investigates, need obtain the area of plant leaf blade often in the open air.Therefore set up convenient, leaf area assay method accurately, for the guiding agricultural production practical activity, formulate high yield, high-quality and efficiently cultivation technique measure have positive meaning.
Method at present commonly used has two big types: one type is destructive blade area assay method, comprises methods such as square method, weight method, picture element scan method, and these methods can not somatometry, will damaged blade; Second type is non-destructive blade area assay method, comprises methods such as the Return Law, Flame Image Process method and photoelectric method.Present Flame Image Process method is to use various imaging devices that the leaf image collection is digital picture, passes to behind the computing machine again and realizes area measurement with Matlab or oneself programming, and generally speaking, these are the method more complicated all, and process is comparatively loaded down with trivial details.
Summary of the invention
The utility model is intended to overcome the deficiency of above-mentioned existing existence technology, and a kind of device based on mobile phone fast detecting blade area is provided.The pick-up unit of the utility model is not only simple in structure, is easy to carry, but also has simplified measuring process, has shortened detection time, has improved measuring accuracy.
A kind of quick leaf area pick-up unit based on mobile phone; Include mobile phone, background board, object of reference and tested blade; Described object of reference and tested blade place diverse location on the background board respectively; Described mobile phone is positioned at the vertical direction of background board, its have take pictures, storage, Flame Image Process, statistical study, man-machine interaction and Presentation Function; The colouring discrimination in described background board front is in the color of tested blade and the color of object of reference; The colouring discrimination of described object of reference is in the color of tested blade.
The utility model is based on the principle of work of the device of the fast detecting blade area of mobile phone:
A, select a front and the opaque flat board of tested other pure color of leaf color phase region plate as a setting, the area of background board is greater than blade area, and is convenient to shooting and images in the background board zone when finding a view;
B, be S at the positive fixing area of background board
RObject of reference, the color of object of reference is different from background board and tested blade;
C, tested blade flattened be laid in the background board front, and with object of reference positioned near, take through the camera of mobile phone, obtain in the background board zone, to comprise tested blade and object of reference at interior complete digital photograph;
D, comparison film carry out gray processing, filtering, geometry correction, binaryzation and regional connectivity mark to be handled; Photo is divided into background, object of reference and three zones of tested blade; Through the traversal picture data; Obtain the sum of all pixels of background board, the sum of all pixels of object of reference and the sum of all pixels of tested blade;
E, through the sum of all pixels of the object of reference that obtains and the sum of all pixels of tested blade, and by the area of the given object of reference of user, at last by mobile phone according to following formula:
Automatically calculate the area of tested blade.
Wherein, the concrete grammar of identification and statistics object of reference and the shared sum of all pixels of tested blade is: comparison film carries out pre-service, comprises filtering and geometry correction, and comparison film carries out gray processing and level and smooth, image binaryzation and connected component labeling then.Through after the above processing, photo is divided into background board, three zones of object of reference and tested blade.Travel through picture data at last and can obtain sum of all pixels, the sum of all pixels of object of reference and the sum of all pixels of blade of background board.Through obtaining the sum of all pixels of object of reference and the sum of all pixels of blade after the user interactions comparison.
The pre-service of photo comprises gray processing in the said method, and gray processing is to convert coloured image into gray level image.The gray processing of photo is to transfer the HIS model to through the RGB model with the photo color to realize in this method.The influence of strength component in the chromatic information in the cancellation coloured image.Can come conversion each other through nonlinear transformation between HSI color model and the RGB color model:
For the gray level image behind the gray processing,
F (x, y)The functional value point coordinate do
(x, y)Gray values of pixel points.
The pre-service of photo comprises filtering in the said method, and filtering can reduce and eliminate " noise " in the photo, to improve photographic quality.Adopt the linear filtering method in this method.The algorithm of linear filtering is following:
(1) from left to right, travel through each pixel of gray level image from top to bottom in proper order
F (x, y)
(2) the center of template operator and this input pixel
F (x, y)Overlapping, carry out convolution algorithm to this pixel and its template, the gray-scale value of the end value of computing as the respective pixel of output image;
(3) if all pixels all dispose, then algorithm finishes, otherwise turns to (1).
The binaryzation of photo adopts the iteration threshold split plot design in the said method.The binary conversion treatment of photo is promptly selected a gray threshold, is black and white binary image with image transitions, and the algorithm of iteration threshold split plot design is following:
The intermediate value of supposing to get the photo tonal range is as initial threshold
T 0 , then its mathematic(al) representation is:
Wherein,
LBe the number of gray level,
Be that gray-scale value does
kThe number of pixel.
Concrete implementation algorithm is following:
(1) obtains the maximum gradation value of image
ZMax and minimum gradation value
ZMin makes initial threshold
T 0 =(
ZMax+
ZMin)/2;
(2) according to initial threshold
T0Image segmentation is become target and background, obtain both average gray values respectively
Z1 draw
Z2;
(3) obtain new threshold value
T=(
Z1+
Z2)/2;
(4) if
T0≠
T,
TValue compose to
T0, forward step (2) to, loop iteration calculate up to
T0=
TIn time, stop, gained
TBe optimum threshold value.Carry out binary conversion treatment after optimal threshold is confirmed, it is following that transforming function transformation function is expressed formula:
The comparison film connected component labeling adopts neighborhood territory pixel to be communicated with labelling method in the said method.Connected component labeling is about to the same grayscale value pixel that has contiguous in the binary image and gives same tag number.The algorithm steps of neighborhood territory pixel connection labelling method is following:
(1) from left to right, scanned photograph from top to bottom.For the each point of every row,, following several kinds of situation are arranged then:, then duplicate this mark if upper point and left side point have a mark if certain gray values of pixel points is 255.If have identical mark, then duplicate this mark at 2.If 2 have different markers, then duplicate mark less in 2, two marks are write in the table of equal value as mark of equal value; Otherwise distribute a new mark for this pixel, and this mark is write table of equal value.
(2) consider next line, repeated for (2) step.
(3) scan image from top to bottom repeats (2), (3) step.
(4) each of equal value concentrating of equivalence table, find this equivalence to concentrate minimum mark.
(5) traversing graph picture replaces each mark with the minimum mark in the table of equal value, with each connected region of various colors mark.
Behind the comparison film connected component labeling, travel through picture data in the said method, obtain sum of all pixels, the sum of all pixels of object of reference and the sum of all pixels of tested blade of background board.Through obtaining the sum of all pixels of object of reference and the sum of all pixels of tested blade after the user interactions comparison.Calculate the area of tested blade through following formula
The blade area method for quick of the utility model mainly is hardware platform and software platform and digital image processing techniques of having utilized existing mobile phone; Camera through the software transfer mobile phone obtains the integral photograph that comprises object of reference and tested blade in the background board zone; And then through carrying out Flame Image Process with the software comparison film on the mobile phone of Java language exploitation; Count object of reference and tested blade shared sum of all pixels in this digital photograph, calculate the area of tested blade at last according to formula.
The pick-up unit of the utility model is not only simple in structure, is easy to carry, but also has simplified measuring process, has shortened detection time, has improved measuring accuracy.
Description of drawings
Fig. 1 is the structural representation of the utility model based on the device of mobile phone fast detecting blade area.
Embodiment
With embodiment and combine accompanying drawing that the utility model is carried out detailed description, further specify the purpose and the characteristics of the utility model, but the embodiment of the utility model is not limited to this below.
Embodiment 1
As shown in Figure 1; A kind of device of the utility model based on mobile phone fast detecting blade area; Include mobile phone 4, background board 1, object of reference 2 and tested blade 3; Described object of reference 2 places diverse location on the background board 1 respectively with tested blade 3, and described mobile phone 4 is positioned at the vertical direction of background board 1; Described mobile phone 4 have take pictures, storage, Flame Image Process, statistical study, man-machine interaction and Presentation Function; The colouring discrimination in described background board 1 front is in the color of tested blade 3 and the color of object of reference 2; The colouring discrimination of described object of reference 2 is in the color of tested blade 3.
Claims (1)
1. quick leaf area pick-up unit based on mobile phone; It is characterized in that: include mobile phone (4), background board (1), object of reference (2) and tested blade (3), described object of reference (2) and tested blade (3) place background board (1) to go up diverse location respectively;
Described mobile phone (4) is positioned at the vertical direction of background board (1), its have take pictures, storage, Flame Image Process, statistical study, man-machine interaction and Presentation Function;
The colouring discrimination in described background board (1) front is in the color of tested blade (3) and the color of object of reference (2);
The colouring discrimination of described object of reference (2) is in the color of tested blade (3).
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011204246712U CN202267464U (en) | 2011-11-01 | 2011-11-01 | Mobile phone based device for rapidly detecting blade area |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011204246712U CN202267464U (en) | 2011-11-01 | 2011-11-01 | Mobile phone based device for rapidly detecting blade area |
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| CN202267464U true CN202267464U (en) | 2012-06-06 |
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| CN2011204246712U Expired - Fee Related CN202267464U (en) | 2011-11-01 | 2011-11-01 | Mobile phone based device for rapidly detecting blade area |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102506772A (en) * | 2011-11-01 | 2012-06-20 | 西北农林科技大学 | Method and device for quickly detecting area of leaf blade based on mobile phone |
| CN102865823A (en) * | 2012-10-12 | 2013-01-09 | 西安电子科技大学 | Length measuring method based on currency |
| CN105043271A (en) * | 2015-08-06 | 2015-11-11 | 宁波市北仑海伯精密机械制造有限公司 | Method and device for length measurement |
| CN106404070A (en) * | 2016-10-28 | 2017-02-15 | 浙江理工大学 | Android-based automatic printing and dyeing machine fabric parameter detection system |
| CN109191520A (en) * | 2018-09-30 | 2019-01-11 | 湖北工程学院 | A kind of Measurement Approach of Leaf Area and system based on color calibration |
| CN109520447A (en) * | 2018-11-29 | 2019-03-26 | 中国科学院南京地理与湖泊研究所 | A method of amendment image treating measures hydrilla verticillata blade area |
-
2011
- 2011-11-01 CN CN2011204246712U patent/CN202267464U/en not_active Expired - Fee Related
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102506772A (en) * | 2011-11-01 | 2012-06-20 | 西北农林科技大学 | Method and device for quickly detecting area of leaf blade based on mobile phone |
| CN102865823A (en) * | 2012-10-12 | 2013-01-09 | 西安电子科技大学 | Length measuring method based on currency |
| CN105043271A (en) * | 2015-08-06 | 2015-11-11 | 宁波市北仑海伯精密机械制造有限公司 | Method and device for length measurement |
| CN105043271B (en) * | 2015-08-06 | 2018-09-18 | 宁波市北仑海伯精密机械制造有限公司 | Length measurement method and device |
| CN106404070A (en) * | 2016-10-28 | 2017-02-15 | 浙江理工大学 | Android-based automatic printing and dyeing machine fabric parameter detection system |
| CN106404070B (en) * | 2016-10-28 | 2019-01-08 | 浙江理工大学 | A kind of dyeing machine fabric parameter automatic checkout system based on android |
| CN109191520A (en) * | 2018-09-30 | 2019-01-11 | 湖北工程学院 | A kind of Measurement Approach of Leaf Area and system based on color calibration |
| CN109520447A (en) * | 2018-11-29 | 2019-03-26 | 中国科学院南京地理与湖泊研究所 | A method of amendment image treating measures hydrilla verticillata blade area |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120606 Termination date: 20121101 |