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A method for identifying the type of corn kernels

A type recognition and grain technology, applied in the field of image recognition, can solve the problem of not given the identification and classification method of dentate and hard grain, and achieve the effect of high degree of automation, fast classification and low investment.

Active Publication Date: 2016-03-30
BEIJING RES CENT FOR INFORMATION TECH & AGRI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the existing technology, machine vision technology and computer vision technology with image processing technology as the core are used, but the identification and classification methods for dent-shaped and hard-grained grains are not given

Method used

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  • A method for identifying the type of corn kernels
  • A method for identifying the type of corn kernels
  • A method for identifying the type of corn kernels

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Embodiment Construction

[0036] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0037] Such as figure 1 As shown, the invention provides a kind of corn grain type recognition method, comprising:

[0038] S1: Acquisition and preprocessing of corn ear images;

[0039] S1.1: Carry out background segmentation, area threshold filtering and histogram equalization processing on the ear image;

[0040] S1.2: Divide the preprocessed image in S1.1 into 3 sections on average according to the ear length, and take the section with regular grain arrangement and obvious grain type characteristics in the middle as the input image for subsequent processing (such as figure 2 shown);

[0041] S2: Segment the grain image in the preprocessed image of the corn ear ima...

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Abstract

The invention discloses a corn grain type identification method. The method comprises the following steps: S1, acquiring a corn ear graph and pre-treating; S2, cutting a grain image in the corn ear graph which is pre-treated in the step S1, to obtain an independent grain image in which grain boundary pixels are removed; S3, identifying the type of the grain image; and S4, counting the number of the horse-tooth type corn grains in the three rows of corn grains in the middle part of the image, determining the grains in the corn ear to be the horse-tooth type if the ratio of the number is greater than 70%, and otherwise, determining the grains in the corn ear to be hard grain type. The corn grain type identification method has the advantages of being fast, accurate and high in automation degree and the like; by adopting the method, the complex manual operation process is avoided and the manpower investment is reduced; compared with the technologies such as nuclear magnetic resonance and near infrared spectrum, the method disclosed by the invention is relatively low investment in the hardware cost, and is easy to be integrated into the existing corn character inspection systems.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a corn grain type recognition method. Background technique [0002] Corn kernels can be divided into eight types according to the endosperm structure, distribution and the length of glumes. Among them, dent corn kernels are surrounded by a thin layer of horny endosperm, and the top and center are floury endosperm. When the kernel is mature, the top appears sunken and wrinkled due to the shrinkage of the floury endosperm. Most of the corn hybrids belong to this type of kernel. Hard-grain type kernels have horny endosperm on the top and surroundings, and powdery endosperm in the center. The kernels are smooth, shiny, and hard in texture. Most self-bred varieties of corn belong to this type of kernel. When inspecting the characteristics of corn kernels, the two types are mainly distinguished, and the operation method mainly relies on manual visual observation and classifi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/54
Inventor 王传宇郭新宇杜建军肖伯祥吴升
Owner BEIJING RES CENT FOR INFORMATION TECH & AGRI
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