Method for extracting and identifying surface defects of transparent body
A recognition method and transparent body technology, applied in image data processing, instruments, calculations, etc., to achieve stable operation, high detection efficiency, and wide application range
Active Publication Date: 2018-10-16
杭州智谷精工有限公司
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Problems solved by technology
At present, in the field of transparent body surface inspection, there is still a lack of a defect extraction and identification method that can make the online inspection method have the characteristics of wide application range, strong flexibility, stable operation, high detection efficiency and high precision.
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[0043] The present invention will be further described below in conjunction with specific embodiments (embodiments). The specific embodiments described here are only used to explain the present invention, but not as a basis for limiting the present invention.
[0044] An embodiment of surface defect detection on a 5-inch square mobile phone glass panel. In this implementation, the method for extracting and identifying defects on the surface of a glass panel includes the following steps:
[0045] ①The image is smoothed by means of median filtering to eliminate noise;
[0046] ② Defect extraction;
[0047] ③ Defect identification;
[0048] In the described step 1., the median filtering is to adopt a sliding window containing an odd number of points, scan the entire image, and replace the middle point of the image with the middle value of each point in the image, and its expression is:
[0049] g(x,y)=Med{f(x-k,y-l)|(k,l∈W)},
[0050] In the formula, f(x, y) is the original i...
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The invention relates to a method for extracting and identifying surface defects of a transparent body. The method for extracting and identifying the surface defects of the transparent body includes the following steps that 1, smoothing processing is carried out on an image through median filtering, and noise is eliminated; 2, defect extraction is carried out; 3, defect discrimination is carried out. Compared with the prior art, a special algorithm step is used for extraction and identification of the collected image, and then a line detection method for the transparent body has the advantagesof being wide in application range, high in flexibility, stable in operation, high in detection efficiency and high in precision. Experiments are carried out on the method by building an experiment platform, and experimental results show that the time required by the method for detecting and processing a 5' mobile phone glass panel is 3 seconds, the false detection rate is 1.58%, the detection precision of position and appearance size defects can reach 10 micron, and the detection precision of other defects is 20 micron.
Description
technical field [0001] The invention relates to the technical field of machine vision image detection and processing, in particular to methods for extracting and identifying defects on the surface of transparent bodies. Background technique [0002] In recent years, with the rapid development of Internet technology and integrated circuit technology, various mobile terminal products have been widely popularized. Mobile terminal products such as mobile phones and tablet computers have become an indispensable part of people's daily work and life. At the same time, with the increasingly frequent replacement of these electronic products, the market demand for the glass panel, which is an important part of the display screen, also shows a leap-forward growth. However, due to the influence of technical production conditions or other human factors, some defects such as poor size, scratches and foreign objects will inevitably appear in the process of production, processing and transp...
Claims
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IPC IPC(8): G06T7/00G06T7/13G06T7/136G06T7/194G06T7/30G06T5/30G06T5/00
CPCG06T5/30G06T7/0004G06T7/13G06T7/136G06T7/194G06T7/30G06T2207/30121G06T5/70
Inventor 袁巨龙赵文宏
Owner 杭州智谷精工有限公司