Nondestructive testing method and system for internal structure of fruit, electronic equipment and medium

A non-destructive testing and internal structure technology, applied in manufacturing computing systems, neural learning methods, neural architectures, etc., can solve problems such as unapplicable fruit, recognition, and unsuitable fruit

Pending Publication Date: 2022-08-02
北京市真我本色科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, in the direction of computer vision, artificial intelligence and machine learning technology are developing rapidly, which are widely used in medical, industrial and other fields, but there is no large-scale machine learning case in the field of fruit imaging
In addition, due to the particularity of the fruit itself, the existing segmentation techniques such as medical images are not suitable for fruit imaging, so that the existing techniques cannot be applied to the identification of the internal structure of fruits

Method used

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  • Nondestructive testing method and system for internal structure of fruit, electronic equipment and medium
  • Nondestructive testing method and system for internal structure of fruit, electronic equipment and medium
  • Nondestructive testing method and system for internal structure of fruit, electronic equipment and medium

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Experimental program
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Effect test

Embodiment 1

[0066] The first aspect of this embodiment provides a non-destructive testing method for the internal structure of fruit, which can be performed by, but not limited to, a computer device or a virtual machine with certain computing resources, such as a personal computer, a smart phone, a personal digital assistant, or a wearable device, etc. Executed by electronic equipment, or executed by virtual machine, in order to realize non-destructive inspection of the internal structure of fruit.

[0067] like figure 1 As shown in the figure, a method, system, electronic device and medium for non-destructive testing of the internal structure of fruits may include but are not limited to the following steps:

[0068] S1. Build a primary fruit element recognition model based on neural network;

[0069] S2. Obtain the first fruit image and the first labeling information corresponding to the first fruit image, and perform optimization processing on the primary fruit element recognition mode...

Embodiment 2

[0125] The present embodiment provides a non-destructive testing system for the internal structure of fruits, which is used to realize the non-destructive testing method for the internal structure of fruits in Embodiment 1; such as Figure 7 As shown, the non-destructive testing system for the internal structure of fruits includes:

[0126] A model building module for building a primary fruit element recognition model based on a neural network;

[0127] The model optimization module is used to obtain the first fruit image and the first label information corresponding to the first fruit image, and identify the model for the primary fruit element through the first fruit image and the first label information Carry out optimization processing to obtain the optimized fruit element recognition model;

[0128] an image recognition module, configured to obtain an image of the fruit to be detected, input the image of the fruit to be detected into the optimized fruit element recognitio...

Embodiment 3

[0131] On the basis of Embodiment 1 or 2, this embodiment discloses an electronic device, and the device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, or the like. Electronic equipment may be referred to as a terminal, portable terminal, desktop terminal, etc. Electronic equipment includes:

[0132] memory for storing computer program instructions; and,

[0133] The processor is configured to execute the computer program instructions to complete the operation of the non-destructive testing method for the internal structure of fruit according to any one of Embodiment 1.

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Abstract

The invention relates to the technical field of nondestructive testing of agricultural products, and aims to provide a nondestructive testing method and system for an internal structure of a fruit, electronic equipment and a medium. The method comprises the following steps: constructing a primary fruit element recognition model based on a neural network; obtaining a first fruit image and first labeling information corresponding to the first fruit image, and performing optimization processing on the primary fruit element recognition model through the first fruit image and the first labeling information to obtain an optimized fruit element recognition model; obtaining a to-be-detected fruit image, and inputting the to-be-detected fruit image into the optimized fruit element recognition model for processing to obtain final labeling information corresponding to the to-be-detected fruit image; and obtaining a redrawing image corresponding to the to-be-detected fruit image according to the final labeling information. According to the invention, nondestructive testing of the internal structure of the fruit can be realized, and an important basis is provided for the quality requirement of the fruit.

Description

technical field [0001] The invention relates to the technical field of nondestructive testing of agricultural products, in particular to a nondestructive testing method, system, electronic equipment and medium for the internal structure of fruits. Background technique [0002] Existing techniques for judging the pulp of durian and other fruits are mainly based on the appearance and outline of the human eye, which has great uncertainty, and it is difficult to judge the size of the pulp, the size of the core, whether there is empty room, whether there are insects and the thickness of the shell, etc. To solve this technical problem, in the prior art, there has been a non-destructive testing technology for agricultural products. After imaging shell fruits such as durian, jackfruit, coconut or dragon fruit, the size, number, proportion, etc. of the fruit pulp can be measured and provided. Show to consumers to reduce information asymmetry problems such as consumers do not know the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/136G06T7/187G06T7/62G06N3/04G06N3/08G06T5/00
CPCG06T7/0004G06T7/136G06T7/187G06T7/62G06T5/002G06N3/08G06T2207/30128G06T2207/20084G06T2207/20081G06T2207/30204G06N3/045Y02P90/30
Inventor 吴曦
Owner 北京市真我本色科技有限公司
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