Thermal anomalies in electrical equipments can be extracted if its infrared image is segmented properly. However, segmenting the infrared image is a very challenging task due to blur and low quality of the obtained images. So, it is very important to enhance the image prior to segmentation. This paper proposes an image enhancement method by adjusting the intensity of the image. Firstly, the intensity of the original image is inverted. Then, the warm region is enhanced by subtracting the original image with the inverted image. Experimental results through different segmentation algorithms show that by enhancing the infrared image using the proposed algorithm could improve the segmentation performance. Ill. 4, bibl. 16, tabl. 1 (in English; abstracts in English and Lithuanian).ud
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机译：如果正确分割红外图像，则可以提取电气设备中的热异常。然而，由于获得的图像的模糊和低质量，对红外图像进行分割是一项非常具有挑战性的任务。因此，在分割之前增强图像非常重要。本文提出了一种通过调整图像强度的图像增强方法。首先，将原始图像的强度反转。然后，通过用反转图像减去原始图像来增强温暖区域。通过不同分割算法的实验结果表明，该算法通过增强红外图像可以提高分割性能。图4，圣经。 16，桌子1（英语；英语和立陶宛文摘要）。 ud
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