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Grain particle surface regularity detection method

A technology for grain particles and detection methods, applied in the direction of testing moving fluids/granular solids, measuring devices, optical testing flaws/defects, etc. performance and accuracy, improve detection efficiency, and achieve accurate detection results

Active Publication Date: 2022-02-25
BEIJING ZHONGJIAN BAOTAI BIOTECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the inspection of grain surface regularity is based on the definition and detection methods stipulated in the relevant grain standards. It mainly relies on manual picking, classification, identification, and calculation. The operation process is complicated, and the labor intensity of personnel during the harvest season is extremely high.
At the same time, because the sensory inspection has very high requirements on the professional ability of people, the inspection results will be affected by factors such as people's knowledge, experience, technical proficiency, working status, fatigue level and other factors. Traditional manual methods often produce large errors; another On the one hand, different inspectors have inconsistent subjective standards, and subjective measurements sometimes affect trade fairness and harm the interests of farmers or vulnerable parties

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0094] A method for detecting the surface regularity of grain grains, comprising the following steps:

[0095] a) collecting images of the grains to be measured;

[0096] attached figure 1 , 2 An example of the captured grain image.

[0097] b) preprocessing the grain image to be measured to obtain a preprocessed grain image;

[0098] The above preprocessing specifically includes one or more of image segmentation, image registration, gray scale processing, binarization processing, and image enhancement processing.

[0099] c) extracting the feature information of the preprocessed grain image, the feature information including the central coordinates, minimum radius, and maximum radius of the grain;

[0100] Before the detection starts, first extract the characteristic information of the grain standard samples from different regions, different varieties, and different years according to the method from step a to step c, and establish a grain standard sample feature informat...

Embodiment 2

[0170] This experimental example is to study the accuracy of the test results.

experiment example 1

[0172] The grain surface regularity detection method provided by the present invention is used to detect wheat samples, including 1000 grains of regular grains, diseased grains, insect-eaten grains, raw bud grains, moldy grains, and damaged grains. The test results are shown in Table 1.

[0173] Table 1 Identification results of wheat samples

[0174]

[0175] It can be seen from Table 1 that the number of regular kernels, diseased kernels, insect-eaten kernels, sprouted kernels, moldy kernels, and damaged kernels was correctly identified to a total of 5890 kernels, and the correct recognition rate was 98.17%.

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Abstract

The invention discloses a grain particle surface regularity detection method. The method mainly comprises the following steps: acquiring a to-be-detected grain image; preprocessing the to-be-detected grain image to obtain a preprocessed grain image; extracting feature information of the preprocessed grain image, wherein the feature information comprises a center coordinate, a minimum radius and a maximum radius of grains; according to the feature information of the to-be-detected grain and the feature information of the grain standard sample, judging the grain particle surface rule degree. Compared with a manual detection method, the method provided by the invention is simpler, more convenient, quicker and more reliable, and the detection efficiency, the detection objectivity and the detection accuracy are remarkably improved.

Description

technical field [0001] The invention relates to the field of grain detection, and more specifically, to a detection method for the surface regularity of grain particles. Background technique [0002] Agriculture is the economic foundation of our country, and food production is the most basic and important work of agriculture. In recent years, the output of grain has tended to be balanced, which has basically solved the demand problem in the development of agriculture, but the problem of food security is still very serious. A considerable amount of grain is in a disadvantaged position in the market due to low quality, resulting in a backlog, which not only wastes agricultural resources, but also reduces the enthusiasm of farmers for production and hinders the further development of agriculture. Furthermore, with the development of the economy and the improvement of people's living standards, food quality and safety has become one of the hot topics discussed and valued by cou...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/85G01N21/88G01N21/95
CPCG01N21/85G01N21/8851G01N21/9515
Inventor 刘龙飞王正友徐广超王楚乔
Owner BEIJING ZHONGJIAN BAOTAI BIOTECH