Fruit defect detection method based on structured hyperspectral system

A defect detection and hyperspectral technology, applied in color/spectral characteristic measurement, image data processing, instruments, etc., can solve problems such as limited detection depth, low precision and difficulty in internal bruise detection

Pending Publication Date: 2021-08-13
NANJING AGRICULTURAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the limited detection depth, the detection accuracy of internal bruises is low, and there are certain difficulties in actual detection

Method used

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  • Fruit defect detection method based on structured hyperspectral system
  • Fruit defect detection method based on structured hyperspectral system
  • Fruit defect detection method based on structured hyperspectral system

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Embodiment Construction

[0032] A method for detecting fruit defects by structured hyperspectral technology, the specific implementation method is as follows:

[0033] 1. Materials and methods

[0034] The 'Lake View' peaches are picked from Yangshan District, Wuxi City, Jiangsu Province. Peaches are picked at commercial ripeness and shipped to the laboratory immediately after picking, where they are placed in the freezer for further research. Using a wooden ball with a diameter of 74mm and a weight of 161g as the experimental material, the wooden ball hits the equator of the peach, and the impact energy is changed by adjusting the falling height of the wooden ball, as shown in figure 2 shown. In this study, the impact energy was 0.4J, and the wooden ball dropped to a height of about 22mm, and the damage could not be clearly observed immediately after hitting. After bruising, image acquisition was performed on the samples at 0h, 4h, and 24h after bruising to monitor the occurrence of bruising. i...

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PUM

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Abstract

The invention provides a fruit defect detection method based on a structured hyperspectral system, which is high in detection accuracy and is particularly suitable for detecting bruised fruits which are invisible to naked eyes at an early stage. The structured hyperspectral system comprises a hyperspectral camera, a light source, an optical fiber conduit, a projector and a computer, the computer is electrically connected with the hyperspectral camera and the projector, the light source is connected with the projector through the optical fiber conduit, and the hyperspectral camera, the projector and the fruits are placed in a closed black box; the method comprises the following steps: generating sine fringes through computer programming, projecting the sine fringes to a fruit through a projector, shooting different phase pictures by using a hyperspectral camera, demodeling the phase pictures into a complete picture, obtaining a structured spectrum, and identifying fruit defects.

Description

technical field [0001] The invention relates to a fruit defect detection system device and a detection method, in particular to a detection method for non-destructive detection of fruit bruises that are not visible to the naked eye in the early stage. [0002] technical background [0003] Bruising is a common type of injury that can occur at all stages of fruit postharvest handling (picking, grading, packaging, transport, marketing, etc.), and even minor bruising can reduce consumer acceptance. On the other hand, the presence of bruises accelerates the physiological process of fruit aging, resulting in fruit aging and spoilage. More importantly, the early stage of bruising on most stone fruits is difficult to detect with the naked eye. Depending on the degree of bruising, the presence of bruising may take up to 12 hours to appear. For some fruit color The darker fruit doesn't even show noticeable browning over time. [0004] At present, there is no effective detection meth...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/187G01N21/25G06T5/00
CPCG06T7/0004G06T7/11G06T7/187G01N21/25G06T2207/20152G06T2207/30128G06T2207/10032G06T5/80
Inventor 孙晔汪小旵李玉花孙国祥
Owner NANJING AGRICULTURAL UNIVERSITY
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