Image binarization is one of the fundamental methods in image processing and it is mainly used as a preprocessing for other methods in image processing. We present an image binarization method with the primary purpose to find markers such as those used in mobile 3D scanning systems. Handling a mobile 3D scanning system often includes bad conditions such as light reflection and non-uniform illumination. As the basic part of the scanning process, the proposed binarization method successfully overcomes the above problems and does it successfully. Due to the trend of increasing image size and real-time image processing we were able to achieve the required small algorithmic complexity. The paper outlines a comparison with several other methods with a focus on objects with markers including the calibration system plane of the 3D scanning system. Although it is obvious that no binarization algorithm is best for all types of images, we also give the results of the proposed method applied to historical documents.

中文翻译：

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极端光照条件下标记跟踪的图像二值化方法

图像二值化是图像处理的基本方法之一，主要用作图像处理中其他方法的预处理。我们提出了一种图像二值化方法，其主要目的是找到标记，例如移动 3D 扫描系统中使用的标记。处理移动 3D 扫描系统通常包括不良条件，例如光反射和非均匀照明。作为扫描过程的基本部分，所提出的二值化方法成功地克服了上述问题并取得了成功。由于图像大小和实时图像处理的趋势，我们能够实现所需的小算法复杂度。本文概述了与其他几种方法的比较，重点是带有标记的对象，包括 3D 扫描系统的校准系统平面。