Visible detection method of welding quality of circuit board based on support vector machine

A technology of support vector machine and welding quality, which is applied in the direction of optical testing flaws/defects, image data processing, instruments, etc., can solve the problems of high missed detection rate, low precision, slow speed, etc., and achieve high degree of automation and detection accuracy High, the effect of improving production efficiency

Inactive Publication Date: 2010-03-03
HUNAN UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to provide a visual detection method for circuit board welding quality based on support vector machines, to overcome the shortcomings of manual detection, such as low efficiency, slow speed, low precision,

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  • Visible detection method of welding quality of circuit board based on support vector machine
  • Visible detection method of welding quality of circuit board based on support vector machine
  • Visible detection method of welding quality of circuit board based on support vector machine

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[0040] Example 1:

[0041] Hereinafter, the present invention will be further described in detail with reference to the drawings and specific embodiments.

[0042] 1. First, the present invention uses a digital camera to take an image of the soldering part of the circuit board, and extracts the grayscale histogram of the image.

[0043] The histogram of an image can be expressed as

[0044] p ( h ) = g ( h ) G - - - ( 1 )

[0045] In the formula, G represents the sum of image pixels, h represents the gray level, and g(h) represents the number of pixels with the image gray level h. The gray level histogram (histogram) is a function of gray level. It represents the number of pixels with each gray level in the image and reflects the frequency of each gray level in the image. The abscissa of the gray level histogram is the gray level, and the ordinate is the frequency of the gray level, which is the most basic statistical feature of the image...

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Abstract

The invention discloses a visible detection method of the welding quality of a circuit board based on a support vector machine, which comprises the following steps: (1) acquiring an image of a weldingpart of the circuit board; (2) extracting a gray histogram of the welding image; (3) adopting an entropy-based image segmentation method to divide the welding image into three chroma strips; (4) taking three variables of area, barycentric ordinate and secondary moment from each chroma strip as characteristic quantities of the welding quality detection of the circuit board; and (5) taking the characteristic quantities as inputs of a support vector machine classifier, judging that the welding quality belongs to normal soldering, excessive soldering or insufficient soldering by three output values of the support vector machine classifier, and finally obtaining a welding quality result. The invention can overcome the problems of low manual detection efficiency, slow speed, low precision, highomission ratio, easy fatigue of detection personnel, and the like, and improves the automation degree of electronic manufacturing and production as well as the product quality.

Description

technical field [0001] The invention mainly relates to visual detection in the field of electronic manufacturing, in particular to a visual detection method for circuit board welding quality based on a support vector machine. Background technique [0002] In the electronic manufacturing production line, the production of circuit boards needs to go through many processes, and one of the key links is the inspection and testing of the quality of circuit boards. An important part of circuit board inspection and testing is the inspection of the soldering quality of electronic components, mainly to detect whether there are unqualified conditions such as missing soldering, excessive soldering tin, and insufficient soldering in each electronic component during the soldering process. In the existing quality inspection of circuit board soldering, manual inspection is often performed, which is not efficient, and it is difficult to guarantee the quality of inspection. With the developm...

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Application Information

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IPC IPC(8): G01N21/88G06T7/00
Inventor 王耀南刘良江张辉周博文
Owner HUNAN UNIV
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