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首页> 外文会议>Sixth International Conference on Quality Control by Artificial Vision May 19-22, 2003 Gatlinburg, Tennessee, USA >Optical coherence tomography evaluation of internal random structure of wood fiber tissue
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Optical coherence tomography evaluation of internal random structure of wood fiber tissue

机译：木纤维组织内部随机结构的光学相干层析成像评估

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摘要

Interferometers with a low-coherent illumination allow non-contact evaluating random tissues by locating the visibility maxima of interference fringes. The problem is the light scattering by a tissue, it is why interference fringes are often distorted. Other problem consists in the need to process large amount of data obtained in optical coherence tomography (OCT) imaging systems. We propose to use a stochastic fringe model and Kalman filtering method for noisy low-coherence fringe processing. A fringe signal value is predicted at a next discretization step using full information available before this step and a prediction error is used for dynamic correction of fringe envelope and phase. The advantages of Kalman filtering method consist in its noise-immunity, high-speed data processing and optimal evaluation of fringe parameters. Several specially fabricated wood fiber tissues have been measured with a low-coherence interferometer. The obtained data from the tissue internal structure are evaluated using a dynamic stochastic fringe processing algorithm applied to fringe signal samples series. The statistical approach for characterizing wood fiber tissues of different kinds is proposed.
机译：具有低相干照明的干涉仪可通过定位干涉条纹的可见度最大值来进行非接触式随机组织评估。问题是组织的光散射，这就是为什么干涉条纹经常失真的原因。另一个问题在于需要处理在光学相干断层扫描（OCT）成像系统中获得的大量数据。我们建议使用随机条纹模型和Kalman滤波方法进行噪声低相干条纹处理。使用在该步骤之前可用的全部信息，在下一离散化步骤中预测条纹信号值，并且将预测误差用于条纹包络和相位的动态校正。卡尔曼滤波方法的优点在于它的抗干扰性，高速数据处理和边缘参数的最佳评估。用低相干干涉仪测量了几种特制的木纤维组织。使用应用于条纹信号样本序列的动态随机条纹处理算法评估从组织内部结构获得的数据。提出了表征不同种类木纤维组织的统计方法。

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