自适应的光纤布拉格光栅图像寻峰算法

根据实际光谱特征， 提出了自适应的光纤布拉格光栅图像寻峰算法。针对 不同环境物理场及噪声分布下的光栅谱型，该算法能自动检测光谱的带宽和信噪比，自 适应地调整算法的高斯模板带宽大小，提高谱型匹配及滤波效果，从而提高寻峰精度。 将该算法与高斯拟合法、质心法进行对比，分析了其在不同噪声大小及非均匀温度场分 布下光纤布拉格光栅反射光谱的寻峰精度。理论仿真及实际寻峰结果表明，该寻峰算法 具有较强的抗噪能力及谱型适应性，较质心法、高斯拟合法具有显著优势。

Adaptive Peak Detection Algorithm for Fiber Bragg Grating Spectrum Based on Image Processing

According to the real fiber Bragg grating(FBG) reflective spectrum shape, an adaptive FBG spectrum peak detection image algorithm is proposed here. Under different surrounding physical fields and amounts of noise, this algorithm can measure the bandwidth and the signal to noise ratio(SNR) of the spectrum automatically. Then it adjusts the bandwidth of the Gaussian template to match the real spectrum well, help enhance the effect of the filter and thus improve the detection accuracy. Theoretically simulations and practically experiments are carried out to estimate the performance of this algorithm in different SNR and non-homogeneous temperature field. The results show that, the proposed algorithm shows better adaptability and higher accuracy than Centroid method and Gaussian curve fitting.