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Fruit surface defect detection method based on image marking

A defect detection and image marking technology, which is applied in the direction of optical defect/defect testing, measuring devices, and material analysis through optical means, can solve problems such as insufficient practicability, reduce labor intensity and error rate, and improve production efficiency Effect

Inactive Publication Date: 2016-03-23
SHAANXI UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the existing fruit surface defect detection methods, the image acquisition method is fixed, and in most cases, it can only be processed for specific types and quality of fruit images, and the practicability is not wide enough.

Method used

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  • Fruit surface defect detection method based on image marking
  • Fruit surface defect detection method based on image marking

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Experimental program
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Effect test

Embodiment 1

[0039] The present invention is a method for detecting fruit surface defects based on image marking, taking first-class apples (without defects) as an example to be tested, see figure 1 , 2 , including the following steps:

[0040] 1) The user uses the image acquisition device to take a photo of the surface of the apple to be detected on the spot and save it to obtain the original image;

[0041] 2) The user uploads the original picture to be tested to the Apple surface defect detection server through wireless or wired means, and the server analyzes the original picture and outputs the result;

[0042] Such as figure 1 As shown, the processing steps of the server include:

[0043] a. Convert the acquired original image from the RGB space to the HSI color space described by the human visual system, using hue (Hue), color saturation (Saturation) and brightness (Intensity), and extract the H component and I component ;

[0044] b. Use the OSTU maximum inter-class variance ...

Embodiment 2

[0067] Take an apple with two defects on the surface as an example to be tested, see figure 1 , 2 , including the following steps:

[0068] 1) The user uses the image acquisition device to take a photo of the surface of the apple to be detected on the spot and save it to obtain the original image;

[0069] 2) The user uploads the original picture to be tested to the Apple surface defect detection server through wireless or wired means, and the server analyzes the original picture and outputs the result;

[0070] Such as figure 1 As shown, the processing steps of the server include:

[0071] a. Convert the acquired original image from the RGB space to the HSI color space described by the human visual system, using hue (Hue), color saturation (Saturation) and brightness (Intensity), and extract the H component and I component ;

[0072] b. Use the OSTU maximum inter-class variance method for the H component to perform dynamic threshold segmentation;

[0073] c. Perform s...

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Abstract

A fruit surface defect detection method based on image marking includes the following steps that firstly, a surface picture of a to-be-detected fruit is taken and saved, and an original image is obtained; secondly; the original picture is uploaded to a server to be analyzed and processed; processing of the server includes the steps that a, the obtained original image is converted into a space where the visual system of human beings is applied, and an H component and an I component are extracted; b, dynamic threshold segmentation is performed on the H component; c, gray histogram statistics is performed on the I component, segmentation is performed through a fixed threshold method, and a threshold is selected between two wave peaks; d, the H value segmentation result and the I value segmentation result are operated, and a binary image with defect areas is obtained; denoising is performed on the obtained binary image; f, the binary image is enhanced, hole noise may exist in the defect areas, and filling is performed on the noise; g, the obtained binary image is marked, and the number and the area of defects are calculated; a detection result is output; labor intensity of workers is reduced, and production efficiency is improved.

Description

technical field [0001] The invention belongs to the utilization of fruit surface automatic detection technology, in particular to a method for detecting fruit surface defects based on image marking. Background technique [0002] my country is a large fruit-producing country, but its domestic consumption is the main product, and the proportion of participating in international trade has always been very low. One of the important reasons is that the commercialization process after picking is backward, and the appearance quality is poor, resulting in relatively weak market competitiveness of fruits. Rapid and accurate fruit detection and grading is an important measure to improve economic efficiency and enhance the international competitiveness of the industry. [0003] Traditional fruit surface defect detection methods rely on the experience of skilled workers and visual inspection to judge fruit quality. It is difficult to guarantee the accuracy and effectiveness of the resul...

Claims

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Application Information

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IPC IPC(8): G01N21/88
CPCG01N21/8851G01N2021/8887
Inventor 何立风姚斌赵晓
Owner SHAANXI UNIV OF SCI & TECH
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