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首页> 外文会议>International Conference on Information Science and Control Engineering >Application of Conditioned Level-Set Method to OH-PLIF Image Processing of Typical Molecule Diffusion Flames
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Application of Conditioned Level-Set Method to OH-PLIF Image Processing of Typical Molecule Diffusion Flames

机译：条件化水平集方法在典型分子扩散火焰OH-PLIF图像处理中的应用

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摘要

A novel approach for OH-PLIF image processing, namely conditioned level-set (CLS) method, is presented in this paper. The complete CLS method consists of raw image pre-processing, adaptive intensity shareholding for linearization, initial contour extraction, region-lock optimization and level set iteration. The successful application of this method to typical molecule diffusion flames demonstrates its robustness to noise sensitivity and flame topology, and its outperformance over traditional edge detectors in terms of flame contour identification. The CLS method provides possibility to further image analysis such as mean reaction zone tracking. Based on the results from RANS simulation with adequate modelling, a novel numerical-aided approach for concentration calibration is also proposed. The CLS method can readily be employed to experimental images obtained from other planar scalar measurements. The proposed method has potential to be integrated to image processing modules of scientific software.
机译：本文提出了一种新的OH-PLIF图像处理方法，即条件水平集（CLS）方法。完整的CLS方法包括原始图像预处理，用于线性化的自适应强度共享，初始轮廓提取，区域锁定优化和水平集迭代。该方法在典型分子扩散火焰中的成功应用证明了其对噪声敏感性和火焰拓扑的鲁棒性，并且在火焰轮廓识别方面优于传统的边缘检测器。 CLS方法为进一步的图像分析（例如平均反应区跟踪）提供了可能性。基于具有适当建模的RANS模拟的结果，还提出了一种新的数字辅助浓度校准方法。 CLS方法可以很容易地用于从其他平面标量测量获得的实验图像。所提出的方法有可能被集成到科学软件的图像处理模块中。

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