Rapid non-destructive recognition method for kiwi fruit surface defects based on hyperspectral imaging

A technology of hyperspectral imaging and identification method, applied in the field of non-destructive testing of fruit surface defects, can solve the problems of inability to meet large-scale production, dark kiwi fruit peel, low efficiency, etc., and achieve the effect of rapid non-destructive identification and reduction of interference

Inactive Publication Date: 2019-01-11
GUIYANG UNIV
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Problems solved by technology

However, the kiwi fruit skin is darker, and its surface defects are difficult to detect with the naked eye
Traditional detection m

Method used

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  • Rapid non-destructive recognition method for kiwi fruit surface defects based on hyperspectral imaging
  • Rapid non-destructive recognition method for kiwi fruit surface defects based on hyperspectral imaging
  • Rapid non-destructive recognition method for kiwi fruit surface defects based on hyperspectral imaging

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[0031] Examples:

[0032] 1. Select a sample set of kiwifruits with intact and defective surfaces: In this example, a batch of kiwifruits (60 pcs) with uniform size and known to be intact (60 pcs) and kiwifruits with surface defects (60 pcs) were selected in the local Wal-Mart supermarket. Sample set

[0033] 2. Collecting hyperspectral images of kiwifruit samples: The hyperspectral image acquisition system used in this embodiment includes: CCD camera, imaging spectrometer, lens, diffuse reflection light source, electric translation stage, electric lifting platform, dark box and computer, among which the CCD camera The exposure time is 9.5ms, the distance between the camera lens and the sample is 40cm, and the moving speed of the motorized translation stage is 1.35cm / s.

[0034] The image acquisition process is controlled by Spectral SENS (Spectral Imaging Ltd., Finland) software, with a spectral range of 400~1000nm.

[0035] Perform black and white correction on the collected hypers...

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Abstract

The invention discloses a rapid non-destructive recognition method for kiwi fruit surface defects based on hyperspectral imaging. The method comprises the following steps: acquiring hyperspectral images of a batch of kiwi fruits in good condition and kiwi fruit samples with surface defects by utilizing a hyperspectral image acquisition system; performing black and white correction on the hyperspectral image, and performing mask processing to eliminate background, so that the image only contains the kiwi fruits; performing further de-noising processing on the hyperspectral image by adopting minimum noise fraction rotation; respectively extracting the average spectrum of a normal area and a surface defect area of the kiwi fruits, and analyzing characteristics of the curve of spectrum; and finally, sequentially segmenting and extracting the normal area and the surface defect area of the kiwi fruits by adopting threshold segmentation and mathematical morphological processing. According tothe method disclosed by the invention, the kiwi fruits with surface defects can be rapidly non-destructively recognized by virtue of the hyperspectral imaging.

Description

technical field [0001] The invention belongs to the technical field of non-destructive detection of fruit surface defects, in particular to a method for quickly and non-destructively identifying kiwi fruit surface defects based on hyperspectral imaging technology. Background technique [0002] Kiwi fruit has high nutritional value and has the reputation of "king of fruits". my country's kiwifruit cultivation area is the largest in the world, accounting for 90% of the world's varieties. However, in the growth process of kiwifruit, it is often affected by various factors to cause defects on the surface of kiwifruit, which greatly affects the quality and sales of kiwifruit. It can be seen that the detection of surface defects of kiwifruit is particularly important. However, the kiwi fruit skin is darker, and its surface defects are difficult to identify with the naked eye. Traditional detection methods are mostly manual, time-consuming, labor-intensive, and inefficient, and ...

Claims

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Application Information

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IPC IPC(8): G01N21/95G01N21/55
CPCG01N21/55G01N21/8851G01N21/95G01N2021/177G01N2021/557G01N2201/102
Inventor 孟庆龙张艳尚静
Owner GUIYANG UNIV
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