提出一种用于干涉型光纤陀螺仪(IFOG)装配质量控制的内窥镜系统设计及相关图像分析方法。同时采用1.0 mm与2.4 mm工业内窥镜系统采集IFOG内部图像与视频数据; 并利用多自由度运动控制平台调节内窥镜工作姿态以保证图像的顺利采集。在此基础上, 设计了基于db4小波基的图像增强方法, 基于灰度共生矩阵的图像纹理特征估计方法以及图像几何形状特征的计算方法等, 用以进行内窥镜图像的分析。通过上述系统与方法的应用, 能够有效检测出IFOG产品在装配过程中出现的多余物颗粒、光纤断纤或异常胶粘等质量问题, 有效提高了IFOG产品的装配质量。

An endoscope system and its corresponding image analysis methods are proposed to implement the assembly quality control of a kind of Interferometric Fiber Optic Gyroscope (IFOG). Two industrial endoscopes with diameter of 1 mm and 2.4 mm are utilized to capture the inner images and the video of IFOG. A movement control platform is used to tune the attitude of endoscope system. Some image enhancement methods and image feature analysis techniques, such as the db4 wavelet enhancement technique, the Gray Level Co-occurrence Matrix (GLCM) feature analysis method and the geometry shape features, etc. are all employed to improve the imaging output quality of endoscope system. By using the proposed endoscope system, some assembly quality problems such as the remainder particles, the broken fibers, or the improper gluing, etc. can all be observed and identified conveniently.