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Electronic component surface defect detection method based on sample library dictionary

A technology for electronic components and defect detection, applied in the field of image processing

Active Publication Date: 2014-07-30
HANGZHOU DIANZI UNIV
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  • Electronic component surface defect detection method based on sample library dictionary
  • Electronic component surface defect detection method based on sample library dictionary
  • Electronic component surface defect detection method based on sample library dictionary

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Embodiment Construction

[0042] The present invention comprises the following steps:

[0043] Step (1) collecting qualified and defective electronic component images, and constructing an electronic component image sample library;

[0044] For electronic components that need to be tested for surface defects; select 200 qualified samples of the components, and at the same time select 100 samples of the components with air bubbles, damage, scratches and pins hanging under the paint on the surface;

[0045] (a) Place the sample device, LED lighting, and MER-030-120UC CCD industrial camera in a closed dark box, and collect the surface images of the above-mentioned qualified and defective electronic components;

[0046] (b) Extract the gradient image ▽f from the collected image f as the characteristic image of each sample device as follows:

[0047] ▿ f ( i , j ) = | f...

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Abstract

The invention relates to an electronic component surface defect detection method based on a sample library dictionary. At present, since finished product defect detection in a process of producing electronic components is mainly manually finished, time and labor are consumed, the workload is high, the production process is easily influenced by subjective factors of detecting workers, error detection and detection leakage are easily caused, the detection efficiency is low, and the labor intensity is high. If careless manipulation is caused during detection, the electronic components are subjected to secondary damage. According to the method, the defect detection efficiency of the electronic components is improved by utilizing a non-contact digital image detection technology, and the electronic component surface defect detection method based on the sample library dictionary is provided. In the method, the surface defects of the electronic components are self-adaptively and automatically detected by constructing a qualified sample library dictionary base for various defects, the defect types are automatically determined, and the defects in a manual visual inspection detection method can be well overcome.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a method for detecting surface defects of electronic components based on a sample database dictionary. Background technique [0002] At present, the defect detection of finished products in the production process of electronic components is mainly done manually, which is time-consuming and labor-intensive. It not only has a large workload, but also is easily affected by the subjective factors of the inspectors, which is easy to cause false detection and missed detection. The detection efficiency is low and the labor intensity is high. If the operation is not careful during the detection, it will also cause secondary damage to the electronic components. Contents of the invention [0003] The purpose of the present invention is to overcome the deficiency of the manual visual inspection method and improve the efficiency of defect detection of electronic components by ut...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/88
Inventor 杨宇翔高明煜何志伟吴占雄黄继业曾毓
Owner HANGZHOU DIANZI UNIV
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