High-density coherent fiber bundles, mainly used for high-resolution fiberscopes, consist of non-circular cores and have various optical noises such as auto-fluorescence, crosstalk, and honeycomb artifacts that may require excessive image processing. Binarization was applied to post-image processing to eliminate a calibration used as pre-image processing for traditional fiberscope image reconstruction. It was able to significantly reduce the complexity of implementing core peak detection and effectively reduce the overall processing time. For binarization, the global thresholding suggested by Otsu and the local thresholdings suggested by Bernsen, Niblack, and White and Rohrer were used. By applying a dynamic method to our method, we can further simplify the process and apply it to image sequencing. When evaluating the results comprehensively, the local thresholding proposed by Bernsen was best suited for interpolating our fiberscope images. By introducing binarization combined with local thresholding in post-image processing, we were able to successfully eliminate the preliminary calibration process and reduce the burden of overall image processing for image reconstruction in a high-resolution fiberscope.

高密度相干光纤束，主要用于高分辨率纤维镜，由非圆形纤芯组成，具有各种光学噪声，如自发荧光、串扰和蜂窝伪影，可能需要过度的图像处理。二值化应用于图像后处理以消除用作传统纤维镜图像重建的前图像处理的校准。它能够显着降低实现核心峰值检测的复杂性，并有效减少整体处理时间。对于二值化，使用了 Otsu 建议的全局阈值和 Bernsen、Niblack、White 和 Rohrer 建议的局部阈值。通过将动态方法应用于我们的方法，我们可以进一步简化过程并将其应用于图像排序。在综合评估结果时，Bernsen 提出的局部阈值最适合插入我们的纤维镜图像。通过在后期图像处理中引入二值化与局部阈值化相结合，我们能够成功地消除初步校准过程并减轻高分辨率纤维镜中图像重建的整体图像处理负担。