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

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 ...

AI Technical Summary

Problems solved by technology

However, only using the three-dimensional imaging capability of OCT will still misidentify dust as point defects on the glass surface, and false defects such as dust cannot be ruled out

Images