激光与光电子学进展, 2019, 56 (12): 121007, 网络出版: 2019-06-13  

多噪声干涉条纹图像的检测方法 下载: 1420次

Method for Detecting Multi-Noise Interference Fringe Images
作者单位
医学光电科学与技术教育部重点实验室, 福建省光子技术重点实验室, 福建 福州 350007
摘要
将条纹骨架级次标定算法,用于实验样本中激光干涉条纹的检测。运用自适应窗口滤波处理不同形态的干涉条纹,同时对实验样本作降噪处理,得到了对比度较高的干涉图像,然后根据完善的样本图像提取干涉条纹并实时标定、检测条纹。结果表明:这种基于多噪声的干涉条纹检测模型能够实现光学元件的实时检测,并有效提高光学元件的检测效率,且能够实现基于C++平台的工业自动化检测。
Abstract
A stripe skeleton-level sub-calibration algorithm was used for interference fringe detection. The experimental samples of laser interference fringe were processed. An adaptive window was used to filter the interference fringes of different shapes, and the experimental samples were denoised to obtain the interference images with high contrast. The interference fringe extraction was performed according to the perfect sample images, and the teal-time stripe calibration and detection were then performed. The results show that the proposed multi-noise-based interference fringe detection model can realize the real-time detection of optical components and effectively improve their detection efficiency. Moreover it can realize the industrial automation detection based on the C++ platform.

梅启升, 王敏, 周群. 多噪声干涉条纹图像的检测方法[J]. 激光与光电子学进展, 2019, 56(12): 121007. Qisheng Mei, Min Wang, Qun Zhou. Method for Detecting Multi-Noise Interference Fringe Images[J]. Laser & Optoelectronics Progress, 2019, 56(12): 121007.

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