A method for detecting multiple scratches on metal surfaces containing screws

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

Inactive Publication Date: 2021-07-27
TIANJIN POLYTECHNIC UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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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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  • A method for detecting multiple scratches on metal surfaces containing screws
  • A method for detecting multiple scratches on metal surfaces containing screws
  • A method for detecting multiple scratches on metal surfaces containing screws

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Embodiment Construction

[0025] The image after binarization processing contains useless information such as metal high reflection noise and screw noise interference. It is solved by the present invention to identify the positions of multiple scratches in the original image at the same time through custom filtering and screw removal methods. The problem.

[0026] A method for detecting multiple scratches on a metal surface containing screws is characterized in that the steps are as follows:

[0027] Step 1: Start the dome light source for the projection light source of the metal 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 ;

[0028] Step 2: To the original image I of the metal to be detected described in step 1 1 Copy to get the metal copy image I to be detected 2 , for the copy image I 2 Carry out grayscale processing, mean value filter processing and binarization processing,...

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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. This method denoises the metal surface based on a custom filtering algorithm, and then uses a custom screw removal algorithm to remove screws on the metal surface, and then searches for scratches to increase the robustness and accuracy of detection. In the case of complex surface texture interference It is still possible to detect tiny scratches on metal surfaces, even scratches covering screws. The metal surface scratch detection method including screws designed by the present invention overcomes the interference caused by complex reflective textures on the metal surface, eliminates the influence of additional noise such as screws, and achieves a higher scratch detection rate.

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 capable of overcoming screw interference and simultaneously detecting multiple scratches. Background technique [0002] Among the various surface defects of mechanical products, scratch defects are the most common. Due to the influence of processing technology and even transportation operations, the scratch itself has the characteristics of small scale and large shape difference. However, the scratch detection process is easily affected by light and background interference, and feature extraction is often very difficult. Therefore, scratch defect detection has always been a difficult point in product surface quality inspection. In order to accurately detect scratches and make up for the defects of low manual detection efficiency and different detection standards, machine vision detection has grad...

Claims

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Application Information

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Patent Type & Authority Patents(China)
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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