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Computer vision technique-based corn ear species test method, system and device

A technology of computer vision and corn ear, which is applied in computer parts, calculation, seed and rhizome processing, etc., can solve the problems of inability to realize non-destructive measurement, failure to realize automatic and rapid test of corn ear, high design cost, etc.

Active Publication Date: 2013-07-10
CHINA AGRI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the device designed by it can only measure one ear at a time, and the throughput is low
The Chinese patent application with the publication number CN202160400U discloses a recording and measuring device for the external shape of corn ears based on stereo vision. Actual demand
[0005] The Chinese patent application with publication number CN102425992A discloses a corn ear trait measuring device and a method for measuring corn ear row number, ear row inclination angle and ear edge angle. And the operation process is more complicated
[0006] In summary, in the prior art, there is no automatic and rapid test method for measuring multiple corn ears based on computer vision technology.

Method used

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  • Computer vision technique-based corn ear species test method, system and device
  • Computer vision technique-based corn ear species test method, system and device
  • Computer vision technique-based corn ear species test method, system and device

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Embodiment 1

[0073] Embodiment 1 of the present invention provides a corn ear seed test method based on computer vision technology, wherein a plurality of arbitrary arrangement of corn ear seed test in this embodiment includes bald tip length measurement, ear row number measurement and row grain number measurement three aspects, including the following steps:

[0074] Step S1: Obtain the original two-dimensional color images of multiple arbitrarily arranged corn ears collected.

[0075] In this embodiment, in order to realize rapid seed testing, a plurality of original two-dimensional color images of corn ears placed arbitrarily are collected at one time for processing.

[0076] Step S2: Extract the outer contour image of a single ear of corn and the contour image of the fruiting part of the ear of corn without bald tip information according to the original two-dimensional color image.

[0077] The specific process of step S2 is as follows figure 2 As shown, specifically, the extracted ...

Embodiment 2

[0120] The second embodiment of the present invention provides a corn ear seed testing system based on computer vision technology, the composition schematic diagram is as follows Figure 8 As shown, the system includes:

[0121] An image acquisition unit 81 , an image processing unit 82 and a data calculation unit 83 .

[0122] The image acquisition unit 81 is used to acquire the original two-dimensional color images of multiple corn ears, and the placement angle of each corn ear is random.

[0123] The image processing unit 82 is used for extracting the contour image M of a single ear of corn and the contour image G of a fruiting part of a corn ear according to the original two-dimensional color image.

[0124] The image processing unit 82 includes a single corn ear contour extraction unit 821 and a corn ear-fruited part contour extraction unit 822 .

[0125] Among them, the corn single ear contour extraction unit 821 performs hyperblue feature extraction, inverse color pro...

Embodiment 3

[0130] The third embodiment of the present invention provides a corn ear seed testing device based on computer vision technology, and the overall structural diagram of the device is as follows: Figure 9 As shown, the device includes:

[0131] An object base 1 , an image acquisition unit 2 , an image processing unit 6 and a support 4 .

[0132] The loading base 1 is used to carry multiple arbitrarily arranged corn ears, the number of corn ears is N, N≥1, and the placement angle of the corn ears is random. The object base 1 in this embodiment has a pure blue background.

[0133] The image acquisition unit 2 is used to acquire two-dimensional color images of corn ears placed on the loading base 1 , and transmit the images to the image processing unit 6 . The image acquisition unit 2 in the present embodiment has a 5 million pixel CMOS camera, a front loading base, and the image acquisition plane is parallel to the plane of the loading base 1, and is used to collect the image o...

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Abstract

The invention discloses a computer vision technique-based corn ear species test method, system and device. The method comprises the following steps of: collecting a plurality of corn ear original two dimension color images which are arranged arbitrarily; extracting the outline image of single ear of the corn and removing the outline image of the fructification part of the corn ear, the top of which is fruitless; and calculating and obtaining the fruitless length of the corn ear, the ear-to-row quantity and the grain quantity of each row according to the outline image of single ear of the corn and the outline image of the fructification part of the corn ear. Through enhancing the gray difference between the fruitless top of the corn ear and the grains, a partitioning algorithm is suitable for separation and extraction of a plurality of colors (purple and white) of fruitless top of the corn ear; based on the method of restoring the three-dimensional image information through a two dimensional ear image, the number of rows of the ear is calculated. The method can be used for rapidly and accurately measuring the phenotypic characters such as the fruitless length of the corn ear, the ear-to-row quantity and the grain quantity of each row and the like, and can greatly improve the breeding efficiency of new corn species.

Description

technical field [0001] The invention relates to the technical field of corn ear seed test, in particular to a method, system and device for corn ear seed test based on computer vision technology. Background technique [0002] Maize ear seed testing is an important link in the process of maize crop genetics and breeding, which is of great significance to maize production and scientific research. At present, the method of manual seed test is generally used for corn ear seed test, which has problems such as high labor cost, long test seed cycle, and large subjective measurement error. The application of computer vision to automatic seed testing of corn ears has the characteristics of high efficiency, rapidity, and accuracy, and is of great significance for the realization of precise breeding and efficient commercial breeding. In addition, the portable automatic testing device can adapt to different field testing environments. [0003] In the process of maize ear breeding test...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A01C1/00G06K9/46G06K9/54
Inventor 马钦朱德海周金辉张晓东李绍明安冬刘哲郭浩段熊春
Owner CHINA AGRI UNIV
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