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Tire fetal-membrane surface character defect detection method based on machine vision

A machine vision and defect detection technology, applied in the field of image processing, can solve problems such as poor accuracy, poor stability, and inability to detect tire membrane character defects, and achieve fast and effective detection, high detection stability, and a wide range of applications.

Active Publication Date: 2015-11-18
GUANGDONG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

However, at present, there is basically no automatic detection method for tire membrane character defects, and it is impossible to quickly and effectively detect tire membrane character defects in combination with machine vision. It is difficult to solve the problems of low efficiency, poor accuracy and Poor stability and other issues

Method used

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  • Tire fetal-membrane surface character defect detection method based on machine vision
  • Tire fetal-membrane surface character defect detection method based on machine vision
  • Tire fetal-membrane surface character defect detection method based on machine vision

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Embodiment Construction

[0055] refer to figure 1 , the invention provides a method for detecting character defects on the surface of tire membranes based on machine vision, comprising:

[0056] S1. Sequentially scan and collect a set of images from the membrane of the tire to be detected, and process each of the collected images to obtain the outer circular arc profile of the tire;

[0057] S2. After fitting the center and radius of the outer circular arc profile of the tire, convert the outer circular arc image of the tire to be tested into a straight image to be tested by polar coordinate transformation, and perform threshold segmentation on the straight image to be tested. After that, locate the tire membrane image area as the ROI image to be tested;

[0058] S3. Obtain a flat image corresponding to the CAD design drawing of the tire membrane to be detected, and then intercept and obtain an image block matching each ROI image to be tested on the flat image;

[0059] S4. Perform character recogni...

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Abstract

The invention discloses a tire fetal-membrane surface character defect detection method based on machine vision, which comprises the following steps: scanning tire fetal membranes to be detected and acquiring a set of images, respectively processing the acquired image and then obtaining the external arc-shaped contour of the tire; fitting circle center and radius of the external arc-shaped contour of the tire, conversing the external arc-shaped image to be detected of the tire to a straight type image to be detected through polar coordinates transformation, performing threshold segmentation, positioning a ROI image to be detected; obtaining the straight type image corresponding to a CAD design image of the tire fetal membrane to be detected, intercepting the straight type image to obtain an image block matched with each ROI image to be detected; performing character identification on each ROI image to be detected and the matched image block, and performing defect determination according to the character identification result. The method can automatically detect the character defect of the tire fetal membrane, has the advantages of high detection stability, low detection cost and fast detection speed, and can be widely used in the tire fetal membrane detection field.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method for detecting character defects on the tire film surface based on machine vision. Background technique [0002] Glossary: [0003] ROI: RegionOfInterest, region of interest. [0004] At present, the detection and judgment of tire film character defects is often completed by human eyes, but the quality inspection of mass production and the complexity of the working environment make it difficult to meet the needs by human eyes alone, and there is a lot of randomness and low efficiency. And the accuracy is poor, and it is impossible to guarantee that the manufactured products are 100% qualified. Machine vision is to use machines instead of human eyes to complete observation and judgment. It is often used in product quality inspection in the mass production process. It is not suitable for people in dangerous environments or occasions where human vision is difficult to satis...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/956
Inventor 蔡念肖盼陈裕潮梁永辉王晗陈新度
Owner GUANGDONG UNIV OF TECH
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