Signal processing in optical coherence tomography for aerospace material characterization
Signal processing in optical coherence tomography for aerospace material characterization
复制标题
用于航空航天材料表征的光学相干断层扫描中的信号处理
DOI：
10.1117/1.oe.52.3.033201
复制
发表时间：
2013
影响因子：
1.3
通讯作者：
R. Benedictus
中科院分区：
文献类型：
--
作者：
Ping Liu;R. Groves;R. Benedictus
抽象。基于一个定制的时域光学相干层析成像（OCT）系统，设计和审查了一系列的信号处理方法。为了提高解调精度和图像质量，对中值滤波、希尔伯特变换和包络检波等解调方法进行了仿真和实验研究。在无噪声情况下，希尔伯特变换的解调性能最好，但考虑到调制信号中存在窄带噪声，包络检波器被选为理想的解调技术。为了降低噪声和增强图像对比度，在解调之前和之后分别应用数字信号处理技术，例如带通滤波和二维中值滤波。最后，集成定制的OCT设置和设计的信号处理算法，航空航天材料，如聚合物涂层和玻璃纤维复合材料，成功地表征。获得的横截面图像清楚地显示了材料的微观结构。
Abstract. Based on a customized time-domain optical coherence tomography (OCT) system, a series of signal processing approaches have been designed and reviewed. To improve demodulation accuracy and image quality, demodulation approaches such as median filter, Hilbert transform, and envelope detector were investigated with simulated as well as experimental data. Without noise, the Hilbert transform has the best performance, but after considering the narrow-band noise in the modulated signal, the envelope detector was selected as the ideal demodulation technique. To reduce noise and enhance image contrast, digital signal processing techniques such as a bandpass filtering and two-dimensional median filtering were applied before and after the demodulation, respectively. Finally with integration of the customized OCT setup and designed signal processing algorithms, aerospace materials, such as polymer coatings and glass-fiber composites, were successfully characterized. The cross-sectional images obtained clearly show the microstructures of the materials.
影响因子：
1.7
作者：
Ripandelli, G;Coppe, A M;Stirpe, M
通讯作者：
Stirpe, M
影响因子：
3.6
作者：
Adler, DC;Ko, TH;Fujimoto, JG
通讯作者：
Fujimoto, JG
影响因子：
46.9
作者：
Fujimoto, JG
通讯作者：
Fujimoto, JG