Method for detecting multiple scratches on metal surface containing screws

A metal surface and detection method technology, applied in the direction of measuring devices, optical testing flaws/defects, material analysis through optical means, etc., can solve the problems of scratch extraction and detection difficulty, simultaneous detection, interference, etc.

Active Publication Date: 2019-07-12
TIANJIN POLYTECHNIC UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the detection of metal surface scratches by machine vision, the texture of the metal surface is a great interference factor. After being photographed by an industrial camera and binarized, the texture will be displayed as scratches. Therefore, there are many problems in the extraction and detection of scratches. high difficulty
In order to solve the problem of detecting scratches on metal surfaces or even detecting multiple scratches at the same time, the present invention designs a scratch detection method applied to metal surfaces containing screws based on image morphology, custom filtering algorithm and custom screw removal algorithm. method

Method used

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  • Method for detecting multiple scratches on metal surface containing screws
  • Method for detecting multiple scratches on metal surface containing screws
  • Method for detecting multiple scratches on metal surface containing screws

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Embodiment Construction

[0032] The binarized image contains useless information such as metal high-reflection noise and screw noise interference. Through custom filtering and screw removal methods, the locations of multiple scratches are simultaneously identified in the original image, which is solved by the present invention. The problem.

[0033] The present invention provides a method for detecting multiple scratches on a metal surface containing screws. The method can be applied to detecting metal scratches containing screws. The steps are as follows:

[0034] The invention relates to a method for detecting multiple scratches on a screw-containing metal surface, which is characterized in that it includes the following steps:

[0035] Step 1: Start the dome light source for the metal projection light source to be detected, the industrial camera for image acquisition, and the software platform for data processing to obtain the original image of the metal to be detected I 1 ;

[0036] Step 2: For the origin...

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Abstract

The invention belongs to the field of metal surface defect detection, and designs a method for detecting multiple scratches on a metal surface containing screws. According to the method, the metal surface is denoised based on a user-defined filtering algorithm; and then a user-defined screw removal algorithm is used for removing the metal surface screw, then scratches are searched to improve the detection robustness and precision, and under the condition of complex surface texture interference, tiny scratches on the metal surface and even scratches covering the screw can still be detected. According to the designed metal surface scratch detection method containing the screw, interference caused by complex reflective textures of the metal surface is overcome, meanwhile, the influence of additional noise of the screw and the like is eliminated, and the high scratch detection rate is achieved.

Description

Technical field [0001] The invention relates to a method for detecting multiple scratches on a metal surface containing screws. More specifically, the invention relates to a method that can overcome screw interference and realize simultaneous detection of multiple scratches. Background technique [0002] Among the various surface defects of mechanical products, scratch defects are the most common. Due to the influence of the processing technology and even the transportation operation, the scratch itself has the characteristics of small scale and large shape difference. However, the scratch detection process is very susceptible to the influence of light and interference from the background, and feature extraction is often difficult. Therefore, the detection of scratch defects has always been a difficult point in product surface quality detection. In order to accurately detect scratches and make up for the low efficiency of manual inspection and different inspection standards, mac...

Claims

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Application Information

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IPC IPC(8): G01N21/88
CPCG01N21/8851G01N2021/8887
Inventor 王红一王红玉宋丽梅郭庆华张坤李昂
Owner TIANJIN POLYTECHNIC UNIV
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