Segmentation is considered an important part of image processing. There are commonly used segmentation techniques to improve the thresholding process, such as Otsu and Kapur. The use of these techniques allows us to find the regions of interest in an image by accurately grouping the pixel intensity levels. On the other hand, the use of thermal images makes it possible to obtain information about the temperature of an object and to capture the infrared radiation of the electromagnetic spectrum through cameras that transform the radiated energy into heat information. The segmentation of this kind of images represents a challenging problem that requires a huge computational effort. This work proposes the use of metaheuristic algorithms, combined with segmentation techniques and applied to thermal images, to detect faults and contribute to the preventive maintenance of electronic systems.

中文翻译：

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使用热图像和元启发式算法进行电子系统故障检测


分割被认为是图像处理的重要组成部分。有常用的分割技术来改进阈值处理，例如 Otsu 和 Kapur。使用这些技术使我们能够通过准确地对像素强度级别进行分组来找到图像中的感兴趣区域。另一方面，热图像的使用可以获取有关物体温度的信息，并通过摄像机捕获电磁波谱的红外辐射，将辐射能转化为热信息。此类图像的分割是一个具有挑战性的问题，需要大量的计算工作。这项工作提出使用元启发式算法，结合分割技术并应用于热图像，来检测故障并有助于电子系统的预防性维护。