Abstract Herein we present a generalized algorithm for processing activity images. Existing algorithms are applicable only to particular cases, and a new, broader approach is therefore proposed here that is based on a set of tuneable filters for images, using an extension of the addition and subtraction operations. The choice of tuning parameter is determined based on the desired result in each experimental case. We include several objective criteria to guide the choice of the most suitable value for the parameter. The use of our approach is exemplified with typical images with dynamic speckle, such as reading under paper, corn seeds and ultrasound images. These examples are also potentials applications in engineering environments.

中文翻译：

---

在动态散斑应用中跟踪活动图像的可调算法

摘要 在此，我们提出了一种用于处理活动图像的通用算法。现有算法仅适用于特定情况，因此这里提出了一种新的、更广泛的方法，该方法基于一组用于图像的可调滤波器，使用加法和减法运算的扩展。调整参数的选择是根据每个实验案例中的期望结果确定的。我们包括几个客观标准来指导为参数选择最合适的值。我们的方法的使用以具有动态散斑的典型图像为例，例如在纸下读取、玉米种子和超声图像。这些示例也是工程环境中的潜在应用。