The multi-core fiber (MCF) plays an important role in expanding capacity. The geometrical parameters and its changes will greatly influence the transmission characteristics of the fiber and the performance of the MCF based devices. The traditional denoising method for analyzing geometrical parameters of the fiber is complex, and the high quality of the fiber image is demanded, which result in poor applicability. In this paper, a novel contour feature denoising method for real geometrical parameters measurement of the fiber is proposed. Compared with the traditional denoising method, the advantage of the proposed method is that denoising the contour image reduces algorithm redundancy, and through the positional relationship between the useful and the pseudo contours, it can effectively remove the influence of noise on the measurement results. The geometrical parameters of two commercial seven-core fibers (SCF) are analyzed by the proposed method, the results show that the real geometrical cross-section of the fiber can be exactly exhibited, and the measurement error of the geometrical parameters is reduced by 4%.

多芯光纤（MCF）在扩大容量方面起着重要作用。几何参数及其变化将极大地影响光纤的传输特性和基于MCF的设备的性能。传统的分析光纤几何参数的去噪方法比较复杂，对光纤图像的质量要求很高，适用性较差。提出了一种新颖的轮廓特征去噪方法，用于光纤的实际几何参数测量。与传统的去噪方法相比，该方法的优点是对轮廓图像进行去噪减少了算法的冗余度，并且通过有效轮廓线与伪轮廓线之间的位置关系，可以有效消除噪声对测量结果的影响。