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Marbling-based fresh meat grading method, system and device

A marbling and grading method technology, applied in the field of fresh meat grading based on marbling, can solve the problems of low efficiency and low precision, and achieve the effect of reducing influence, reducing error, and improving grading efficiency and accuracy

Inactive Publication Date: 2019-11-15
CHINA AGRI UNIV
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  • Claims
  • Application Information

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Problems solved by technology

[0005] The embodiment of the present invention provides a fresh meat grading method, system and device based on marbling, which is used to solve the problems in the prior art that rely on manual meat grading, which is inefficient and easily affected by the surrounding environment, resulting in low precision. question

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  • Marbling-based fresh meat grading method, system and device
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Embodiment Construction

[0037] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0038] The existing technology mainly relies on manual visual judgment. By comparing the standard model to judge the grade, it has the characteristics of strong subjectivity and large error. Even if the auxiliary detection is carried out by applying machine vision technology, it is still greatly affected by the external environment, and the gr...

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Abstract

The embodiment of the invention provides a marbling-based fresh meat grading method, system and device. The method comprises the following steps: acquiring a to-be-graded image of fresh meat; inputting the to-be-graded image into a pre-trained detection grading model, and obtaining a detection grading result output by the detection grading model; wherein the detection grading model is obtained bytraining based on a sample set image of fresh meat and a grade label obtained by classifying according to a marbling standard sample plate. The system is used for executing the method. The device further comprises an image acquisition unit and a conveyor belt. The image acquisition unit is used for acquiring the to-be-graded image, and the conveying belt is used for conveying to-be-detected freshmeat. According to the embodiment of the invention, by training a large number of image samples, the influence caused by acquisition angles and light sources can be effectively reduced, the grading efficiency and accuracy are improved, and errors caused by subjectivity of artificial vision evaluation are reduced.

Description

technical field [0001] The present invention relates to the technical field of image classification, in particular to a method, system and device for grading fresh meat based on marbling. Background technique [0002] Fresh meat is an important part of my country's meat consumption, and people's daily life cannot do without it. Marbling is also called fat hybridization, which refers to the content, quantity and uniformity of intramuscular fat. Marbling is an important parameter to evaluate the quality and taste of fresh meat, and is an important indicator for grading. [0003] At present, the method of grading the quality of fresh meat in my country mainly relies on artificial vision, and judges the grade by comparing with the standard board. However, manual evaluation is highly subjective, and it is easy to cause misjudgment as the length of labor increases. The development of machine vision and image processing technology has promoted the development of artificial intel...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V20/80G06N3/045G06F18/24
Inventor 彭彦昆赵鑫龙王亚丽庄齐斌沈柳杨
Owner CHINA AGRI UNIV