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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Problems solved by technology

However, in the existing fruit surface defect detection methods, the image acquisition method is fixed, and in most cas

Method used

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  • Fruit surface defect detection method based on image marking

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Example Embodiment

[0038] Example one

[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 as the object to be tested, see figure 1 , 2 , Including the following steps:

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

[0041] 2) The user uploads the original image to be detected to the Apple surface defect detection server through wireless or wired means, and the server analyzes the original image 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 human visual system, use Hue, Saturation and Intensity to describe the HSI color space of the color, and extract the H and I components ;

[0044] b. Use OSTU maximum between-class variance method for dynamic th...

Example Embodiment

[0066] Example two

[0067] Take an apple with two defects on its surface as an example as the test object, see figure 1 , 2 , Including the following steps:

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

[0069] 2) The user uploads the original image to be detected to the Apple surface defect detection server through wireless or wired means, and the server analyzes the original image 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 of the human visual system, using Hue, Saturation and Intensity to describe the HSI color space, and extract the H and I components ;

[0072] b. Use OSTU maximum between-class variance method for dynamic threshold segmentation of H component;

[0073] c. Perform statistics on the gray-scale ...

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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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