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Method, electronic device, and storage medium for intelligently detecting defective glass images

An intelligent detection and image technology, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as unfavorable data backtracking, inconvenient defect data storage, cutting linear fluctuations, etc., to reduce the risk of entering the market and improve products Detection efficiency, the effect of improving work efficiency

Active Publication Date: 2021-10-29
高视科技(苏州)股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In the Thin film transistor liquid crystal display (TFT-LCD) industry, because the production of large-size glass substrates can effectively improve the yield and output rate of large-screen LCD panels, while reducing production costs, so in In the production process, the glass substrate is always enlarged, and then cut according to the actual production needs. The four sides of the cut glass are required to be straight lines, which is an important control parameter in the glass production process; Fine cutting knife wheel and movement, the straightness of edge cutting will fluctuate, and there will be local protrusions or depressions on the edge, resulting in fragments, under-grinding, burning edges, cracks, etc., which seriously affect product quality
[0004] At present, the measurement method of defective glass is often measured by personnel operating a vernier caliper or a two-dimensional image measuring instrument, and adjusted according to the four-sided linearity measurement data. The application of these two methods makes the entire adjustment process more cumbersome, longer detection time, and poor operability. , the measurement data is inaccurate, and it is inconvenient to save defect data, which is not conducive to data backtracking

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  • Method, electronic device, and storage medium for intelligently detecting defective glass images
  • Method, electronic device, and storage medium for intelligently detecting defective glass images

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Embodiment Construction

[0053] Preferred embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While preferred embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this application will be thorough and complete, and will fully convey the scope of this application to those skilled in the art.

[0054] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a," "the," and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It will also be understood that the term "and / or" as used herein refers to and includes any and...

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Abstract

This application is about a method for intelligently detecting defective glass images. The method includes: acquiring a photographed image of the glass to be tested; performing image preprocessing on the photographed image to obtain a preprocessed image; performing image segmentation processing on the preprocessed image to obtain a first glass image; if the first glass image has an image If there is a defect, the closing operation is performed on the first glass image to obtain a second glass image; the second glass image is subtracted from the first glass image to obtain a defective glass image representing the shape of the defect. The solution provided by this application avoids the error caused by manual measurement by automatically detecting the edge image of cut glass, and can improve the product detection efficiency of the glass production line, thereby reducing the risk of defective glass products entering the market due to uneven cutting. improve product quality.

Description

technical field [0001] The present application relates to the technical field of defective glass image detection, and in particular, to a method for automatically detecting defective glass images, an electronic device, and a storage medium. Background technique [0002] Glass has been around for thousands of years and is one of the most versatile man-made materials in high-tech fields. In the screen display industry, liquid crystal glass is a high-tech optoelectronic glass product formed by encapsulating liquid crystals in glass by means of high temperature and high pressure. Today, liquid crystal glass is widely used as a dimming device for electronic equipment, and the upper and lower polarizers are attached to the color film through the boxing process, and the bottom plus the backlight can form a liquid crystal display (Liquid Crystal Display, LCD for short). An important component of the current display device. [0003] In the thin film transistor liquid crystal displa...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/13G06T7/136G06T7/187G06T5/30G06T5/00
CPCG06T7/0004G06T7/13G06T7/11G06T7/136G06T5/30G06T7/187G06T5/70
Inventor 陈奕舜范伟华邹伟金
Owner 高视科技(苏州)股份有限公司
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