Fruit epidermis micro-damage detection method based on X-ray and contrast enhancer

A technology of contrast enhancement and detection method, which is applied in image enhancement, neural learning method, measurement device, etc., can solve the problems of small differences in tissue density, noise interference, and small differences in imaging grayscale, so as to reduce the impact of detection results and reduce Labor intensity and the effect of improving detection accuracy

Pending Publication Date: 2021-12-03
HUAZHONG AGRI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The difficulty of using visual technology to identify micro-damages on fruit epidermis is that the micro-damages are too small and the damage characteristics are not obvious enough
It is difficult to detect micro-damages on fruit epidermis based on traditional visual technology, and it is difficult to capture micro-damages on fruit epidermis with RGB cameras; there are also the following difficulties in detecting micro-damages on fruit epidermis only with direct digital X-ray photography technology: the fruit tissue is complex and the difference in tissue density is small. There is little difference in imaging gray scale, and there is noise interference in X-ray imaging of fruit

Method used

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  • Fruit epidermis micro-damage detection method based on X-ray and contrast enhancer
  • Fruit epidermis micro-damage detection method based on X-ray and contrast enhancer
  • Fruit epidermis micro-damage detection method based on X-ray and contrast enhancer

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Experimental program
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Effect test

Embodiment 1

[0030] A method for detecting micro-injury of fruit epidermis based on X-ray and contrast enhancing agent, comprising the following steps:

[0031] Step 1, soaking and cleaning the outer skin of the fruit to be detected, and adding a potassium iodide contrast enhancer to the cleaning solution;

[0032] Step 2. Carry out several images of the fruits to be detected by the X-ray imaging device to obtain X-ray images of the fruits to be detected;

[0033] Step 3. Input the X-ray image of the fruit to be detected into the fruit detection deep learning model, the deep learning model is resnet50, and the fruit detection deep learning model recognizes the damage characteristics of the X-ray image of the fruit to be detected and outputs the recognition result.

[0034] The training method of described fruit detection deep learning model comprises the following steps:

[0035] Step 1. Soak and clean the outer skin of the training fruit sample, and add potassium iodide contrast enhancer...

Embodiment 2

[0042] Such as figure 1 As shown, the fruit skin micro-damage detection device based on X-rays and contrast intensifiers includes a carrier 1, a detection device housing 2, a roller conveyor 3 and a cleaning conveyor, and the roller conveyor 3 is horizontally arranged on the carrier 1 The top of the top, the detection device housing 2 is arranged in the middle of the top of the roller conveyor belt 3, the two sides of the detection device housing 2 are provided with openings, the upper end of the opening is provided with a shading curtain 21, and the shading curtain 21 is used for The opening is shielded from light, the top of the detection device housing 2 is provided with an X-ray source 5, and the bottom of the roller conveyor belt 3 is located at the position directly below the X-ray source 5. An X-ray detector 7 is provided. The X-ray detector 7 is electrically connected to the touch display screen 23, and the X-ray detector 7 is used to convert the X-ray signal into an e...

Embodiment approach

[0044] As an implementation, the front end of the detection device housing 2 is provided with a square opening area, and a leaded glass 22 is provided in the square opening area, and the leaded glass 22 is used to facilitate the production line staff to detect fruit outside. Transmission, to avoid jam fruit plug fruit.

[0045]As an implementation, the front end of the detection device housing 2 is provided with a touch screen 23, an X-ray switch 24 and an emergency stop switch 25, such as figure 2 As shown, the X-ray switch 24 is the start-stop switch of the X-ray source 5 , and the emergency stop switch 25 is used to control the start-stop of the X-ray source 5 and the roller conveyor belt 3 .

[0046] As an implementation manner, the inner wall of the detection device housing 2 is provided with a lead plate 26, which is used to shield the influence of X-ray radiation.

[0047] As an implementation manner, the CCD camera is electrically connected to the touch display, and ...

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Abstract

The invention relates to a fruit epidermis micro-damage detection method based on X-rays and a radiography enhancer. The method comprises the following steps: step 1, soaking and cleaning the epidermis of a fruit to be detected, and adding a potassium iodide radiography enhancer into a cleaning solution; 2, imaging the fruits to be detected for multiple times through the X-ray imaging device to obtain X-ray images of the fruits to be detected; and step 3, inputting the X-ray image of the to-be-detected fruit into the fruit detection deep learning model, and identifying damage features of the X-ray image of the to-be-detected fruit and outputting an identification result by the fruit detection deep learning model. The damaged fruits can be effectively and quickly screened out, and the damaged fruits are prevented from being affected by diseases to healthy fruits.

Description

technical field [0001] The invention relates to the technical field of agricultural product detection, in particular to a method for detecting micro-damages on fruit epidermis based on X-rays and contrast enhancers. Background technique [0002] Micro-damage to the fruit epidermis will bring huge risks to the post-harvest storage stage of the fruit. Micro-damage fruits are very easy to be infected with pathogens in the air and get sick (such as penicillium, green mold, sour rot, etc.), diseased fruits It will infect adjacent healthy fruits, cause economic losses to fruit farmers, and affect the eating quality of other fruits. [0003] The traditional identification of micro-damages on fruit epidermis mainly relies on manual sorting, which is extremely difficult to identify with naked eyes, time-consuming, labor-intensive, inefficient, and labor-intensive. After the fruit is harvested, the collision and the pricking of the stems and branches are very easy to produce micro-da...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G01N23/04G01N23/083G01N23/18G06N3/04G06N3/08
CPCG06T7/0002G01N23/04G01N23/083G01N23/18G06N3/08G06T2207/10116G06T2207/20081G06T2207/20084G06N3/045
Inventor 李善军陈耀晖宋竹平余勇华李志昌梁千月师哲朱梦伟张鑫赵钟冰
Owner HUAZHONG AGRI UNIV
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