Metal part surface defect detection and identification method as well as apparatus thereof

A defect detection, metal parts technology, applied in measuring devices, optical testing of flaws/defects, material analysis by optical means, etc., can solve the problems of low detection and recognition accuracy, and achieve the effect of full automation and high detection accuracy

Active Publication Date: 2018-11-16
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0005] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the problem of low detection and identification accuracy in different e

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  • Metal part surface defect detection and identification method as well as apparatus thereof
  • Metal part surface defect detection and identification method as well as apparatus thereof
  • Metal part surface defect detection and identification method as well as apparatus thereof

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Embodiment Construction

[0062] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention

[0063] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[006...

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Abstract

The invention belongs to the technical field of machine vision, and concretely relates to a metal part surface defect detection and identification method as well as an apparatus thereof, which can solve the problem of low detection and identification precision under different environments in the prior art. The metal surface defect detection and identification method is characterized in that basedon an original image of the surface of a metal part, a surface defect detection model is constructed in advance for performing defect detection on the original image to obtain a defect area position;the defect area position is subjected to contour detection to respectively obtain a first defect contour and a second defect contour; the first defect contour and the second defect contour are input in the pre-constructed surface defect detection model, and the defect types of the surface of the metal part can be identified. The method has the advantages of full automatic performance and high detection precision.

Description

technical field [0001] The invention belongs to the technical field of machine vision, and in particular relates to a metal surface defect detection and identification method and device. Background technique [0002] Metal parts are widely used in various industries, such as automotive, machine building and aerospace fields. In the actual production process, due to various reasons such as processing technology, various defects occur on the surface of parts, such as scratches, pits, depressions, glue marks, foreign objects, etc. These defects will seriously affect the normal operation of parts. Therefore, Timely detection of defects on the metal surface and evaluation of the severity of the defects are of great significance to improving the quality of the metal surface. [0003] At present, the commonly used metal surface defect detection is mainly solved by machine vision, using traditional image processing algorithms or machine learning algorithms to detect and identify im...

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Application Information

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IPC IPC(8): G01N21/88
CPCG01N21/8851G01N2021/8887
Inventor 陶显张大朋刘希龙徐德马文治林福严
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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