Glass surface authentic and false defect identification method and system based on OCT complex signal

A glass surface, defect recognition technology, applied in character and pattern recognition, optical test flaws/defects, instruments, etc., can solve problems such as dust that cannot be excluded, and achieve the effect of accurate delineation, accurate identification, and high sensitivity

Active Publication Date: 2015-10-07
ZHEJIANG UNIV
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However, only using the three-dimensional imaging capability of OCT will still misidentif...

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  • Glass surface authentic and false defect identification method and system based on OCT complex signal
  • Glass surface authentic and false defect identification method and system based on OCT complex signal
  • Glass surface authentic and false defect identification method and system based on OCT complex signal

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Embodiment Construction

[0033] Hereinafter, "true defects" refer to defects that cause deformation on the glass surface, such as air bubbles, distortions, bruises, tin spots, stones, etc.; "pseudo-defects" refer to defects that do not cause deformation on the glass surface, such as dust. "Standard single reflective interface" refers to an ideal smooth glass interface with no "true defects" or "false defects" on it. "Depth direction" refers to the thickness direction of glass. "Lateral" refers to a direction perpendicular to the depth direction.

[0034] The object of the present invention is to provide a method and system for identifying authenticity defects on glass surfaces based on OCT complex analysis signals. In the present invention, the complex analysis signal obtained by OCT imaging is used to analyze the difference between the complex analysis signal along the depth direction at the glass interface and the complex analysis signal generated by the standard single reflection interface, and to...

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Abstract

The invention discloses a glass surface authentic and false defect identification method and system based on an OCT (Optical Coherence Tomograhy)complex signal. The method comprises the following steps: performing the illumination and parallel detection by utilizing linear focused light in an OCT system, analyzing difference between a complex analytic signal along the depth direction at a glass interface and a complex analytic signal generated at a standard single reflection interface to classify a boundary of a defect core on the glass surface by utilizing a complex analytic signal obtained in an OCT imaging way, reconfiguring a high-precision glass surface shape appearance figure by utilizing a complex analytic reflection signal of the glass surface obtained in an OCT imaging way, comparing the glass surface defect core boundary figure with the glass surface shape appearance figure, and identifying an authentic defect and a false defect. By adopting the method and system, the high-resolution and high-accuracy authentic and false defect identification can be realized, the glass defect can be detected in real time in a dust production environment, and the error in judgment caused by the interference of dust can be avoided.

Description

technical field [0001] The invention belongs to the field of optical coherence measurement, and in particular relates to a method and system for identifying true and false defects on glass surfaces based on OCT complex signals. technical background [0002] Quality control is a critical issue in the glass manufacturing industry, and the presence of defects in the glass can greatly reduce the quality of the glass. The speed of manual inspection is slow, and it is easily affected by the subjective factors of the inspectors, resulting in missed or false inspections of glass defects, which can no longer adapt to the modern glass industry production line. At present, automatic glass defect detection has become a trend. Automatic glass defect detection system mainly includes laser scanning detection and Moore interference detection. Laser scanning inspection is not sensitive to tiny defects and has poor anti-interference ability. Moore interference detection can identify point ...

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Application Information

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IPC IPC(8): G01N21/88G01N21/27G06K9/00
Inventor 丁志华陈志彦鲍文李鹏沈毅唐弢
Owner ZHEJIANG UNIV
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